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Sample records for bridgeport ct connecticut

  1. Category:Bridgeport, CT | Open Energy Information

    Open Energy Info (EERE)

    in this category, out of 16 total. SVFullServiceRestaurant Bridgeport CT Connecticut Light & Power Co.png SVFullServiceRestauran... 64 KB SVQuickServiceRestaurant Bridgeport CT...

  2. Bridgeport, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district.12 Registered Energy Companies in Bridgeport, Connecticut Clean Diesel Technologies References US Census Bureau Incorporated place and minor civil...

  3. Connecticut: Bridgeport Multifamily Weatherization | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Connecticut: Bridgeport Multifamily Weatherization Connecticut: Bridgeport Multifamily Weatherization November 8, 2013 - 12:00am Addthis EERE's Weatherization Assistance Program weatherized a multifamily facility in Bridgeport, Connecticut, that provides safe housing for individuals, veterans, and the homeless received weatherization; the services performed have saved the facility nearly $7,000 in annual energy costs. Because the state had not yet received an approved multifamily audit, a local

  4. EERE Success Story-Connecticut: Bridgeport Multifamily Weatherization |

    Office of Environmental Management (EM)

    Department of Energy Connecticut: Bridgeport Multifamily Weatherization EERE Success Story-Connecticut: Bridgeport Multifamily Weatherization November 8, 2013 - 12:00am Addthis EERE's Weatherization Assistance Program weatherized a multifamily facility in Bridgeport, Connecticut, that provides safe housing for individuals, veterans, and the homeless received weatherization; the services performed have saved the facility nearly $7,000 in annual energy costs. Because the state had not yet

  5. PRELIMINARY SURVEY OF BRIDGEPORT BRASS COMPANY SEYMOUR, CONNECTICUT

    Office of Legacy Management (LM)

    BRIDGEPORT BRASS COMPANY SEYMOUR, CONNECTICUT Work performed by the Health and Safety Research Division Oak Ridge National Laboratory Oak Ridge, Tennessee 37830 March 1980 OAK RIDGE NATIONAL LABORATORY operated by UNION CARBIDE CORPORATION for the DEPARTMENT OF ENERGY as part of the Formerly Utilized Sites-- Remedial Action Program BRIDGEPORT BRASS COMPANY SEYMOUR, CONNECTICUT At the request of the Department of Energy (then ERDA), a preliminary survey was performed at the Bridgeport Brass

  6. DOE - Office of Legacy Management -- Bridgeport Brass Co - Havens

    Office of Legacy Management (LM)

    Laboratory - CT 06 Bridgeport Brass Co - Havens Laboratory - CT 06 FUSRAP Considered Sites Site: Bridgeport Brass Co., Havens Laboratory (CT.06) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: Havens Plant Havens Laboratory Reactive Metals, Inc. CT.06-1 CT.06-2 Location: 30 Grand Street and Kossuth and Pulaski Streets , Bridgeport , Connecticut CT.06-3 Evaluation Year: 1987 CT.06-4 Site Operations: From 1953 to 1962, conducted research on

  7. Radiological survey results at the former Bridgeport Brass Company facility, Seymour, Connecticut

    SciTech Connect (OSTI)

    Foley, R.D.; Carrier, R.F.

    1993-06-01

    At the request of the US Department of Energy (DOE), a team from Oak Ridge National Laboratory conducted a radiological survey of the former Bridgeport Brass Company facility, Seymour, Connecticut. The survey was performed in May 1992. The purpose of the survey was to determine if the facility had become contaminated with residuals containing radioactive materials during the work performed in the Ruffert building under government contract in the 1960s. The survey included a gamma scanning over a circumscribed area around the building, and gamma and beta-gamma scanning over all indoor surfaces as well as the collection of soil and other samples for radionuclide analyses. Results of the survey demonstrated radionuclide concentrations in indoor and outdoor samples, and radiation measurements over floor and wall surfaces, in excess of the DOE Formerly Utilized Sites Remedial Action Program guidelines. Elevated uranium concentrations outdoors were limited to several small, isolated spots. Radiation measurements exceeded guidelines indoors over numerous spots and areas inside the building, mainly in Rooms 1--6 that had been used in the early government work.

  8. Results of the independent radiological verification survey at the former Bridgeport Brass Company Facility, Seymour, Connecticut (SSC001)

    SciTech Connect (OSTI)

    Foley, R.D.; Rice, D.E.; Allred, J.F.; Brown, K.S.

    1995-03-01

    At the request of the USDOE, a team from ORNL conducted an independent radiological verification survey at the former Bridgeport Brass Company Facility, Seymour, Connecticut, from September 1992 to March 1993. Purpose of the survey was to determine whether residual levels of radioactivity inside the Ruffert Building and selected adjacent areas were rmediated to levels below DOE guidelines for FUSRAP sites. The property was contaminated with radioactive residues of {sup 238}U from uranium processing experiments conducted by Reactive Metals, Inc., from 1962 to 1964 for the Atomic Energy Commission. A previous radiological survey did not characterize the entire floor space because equipment which could not be moved at the time made it inaccessible for radiological surveys. During the remediation process, additional areas of elevated radioactivity were discovered under stationary equipment, which required additional remediation and further verification. Results of the independent radiological verification survey confirm that, with the exception of the drain system inside the building, residual uranium contamination has been remediated to levels below DOE guidelines for unrestricted release of property at FUSRAP sites inside and outside the Ruffert Building. However, certain sections of the drain system retain uranium contamination above DOE surface guideline levels. These sections of pipe are addressed in separate, referenced documentation.

  9. DOE - Office of Legacy Management -- Torrington Co - CT 09

    Office of Legacy Management (LM)

    Torrington Co - CT 09 FUSRAP Considered Sites Site: TORRINGTON CO. (CT.09 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: Torrington Co. - Specialties Division CT.09-1 Location: Torrington , Connecticut CT.09-1 Evaluation Year: 1987 CT.09-1 Site Operations: Performed swaging experiments on small quantities of uranium rods circa 1951 to 1953 as a subcontractor to Bridgeport Brass Co. CT.09-1 Site Disposition: Eliminated - Potential for contamination

  10. DOE - Office of Legacy Management -- Seymour CT Site - CT 02

    Office of Legacy Management (LM)

    Seymour CT Site - CT 02 FUSRAP Considered Sites Seymour, CT Alternate Name(s): Bridgeport Brass Company Seymour Specialty Wire Reactive Metals, Inc. National Distillers and Chemical Co. Havens Plant CT.02-2 CT.02-3 CT.02-6 Location: 15 Franklin Street, Seymour, Connecticut CT.02-4 Historical Operations: Procured, processed and stored uranium oxides, salts, and metals for AEC and processed the products by cold-forming or extruding natural uranium metal. CT.02-3 CT.02-9 Eligibility Determination:

  11. DOE - Office of Legacy Management -- American Chain and Cable Co - CT 15

    Office of Legacy Management (LM)

    Chain and Cable Co - CT 15 FUSRAP Considered Sites Site: American Chain and Cable Co (CT.15 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Bridgeport , Connecticut CT.15-1 Evaluation Year: 1987 CT.15-1 Site Operations: Research and development involving uranium metal reclamation. CT.15-1 CT.15-2 Site Disposition: Eliminated - Potential for contamination considered remote based on the limited quantity of materials and short duration of

  12. Solar Connecticut | Open Energy Information

    Open Energy Info (EERE)

    Connecticut Jump to: navigation, search Name: Solar Connecticut Address: PO Box 515 Place: Higganum, Connecticut Zip: 06441 Region: Northeast - NY NJ CT PA Area Website:...

  13. Connecticut - Compare - U.S. Energy Information Administration (EIA)

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut Connecticut

  14. Connecticut - Rankings - U.S. Energy Information Administration (EIA)

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut Connecticut

  15. Connecticut - Search - U.S. Energy Information Administration (EIA)

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut Connecticut

  16. Wheelabrator Bridgeport Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    Database Retrieved from "http:en.openei.orgwindex.php?titleWheelabratorBridgeportBiomassFacility&oldid398316" Feedback Contact needs updating Image needs updating...

  17. Bridgeport, Pennsylvania: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    article is a stub. You can help OpenEI by expanding it. Bridgeport is a borough in Montgomery County, Pennsylvania. It falls under Pennsylvania's 7th congressional...

  18. Connecticut/Incentives | Open Energy Information

    Open Energy Info (EERE)

    State Rebate Program No CL&P - Residential Heating and Cooling Rebates (Connecticut) Utility Rebate Program No CT Solar Loan (Connecticut) State Loan Program Yes Clean Energy...

  19. Connecticut Light and Power | Open Energy Information

    Open Energy Info (EERE)

    Connecticut Light and Power Address: P.O. Box 270 Place: Hartford, Connecticut Zip: 06141 Region: Northeast - NY NJ CT PA Area Sector: Services Product: Green Power Marketer...

  20. Windham County, Connecticut: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    South Windham, Connecticut South Woodstock, Connecticut Sterling, Connecticut Thompson, Connecticut Wauregan, Connecticut Willimantic, Connecticut Windham, Connecticut...

  1. Connecticut State Historic Preservation Programmatic Agreement | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Connecticut State Historic Preservation Programmatic Agreement Connecticut State Historic Preservation Programmatic Agreement Fully executed programmatic agreement between DOE, State Energy Office and State Historic Preservation Office. PDF icon state_historic_preservation_programmatic_agreement_ct.pdf More Documents & Publications Connecticut State Historic Preservation Programmatic Agreement Delaware State Historic Preservation Programmatic Agreement Florida State Historic

  2. Danbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Danbury, Connecticut: Energy Resources (Redirected from Danbury, CT) Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.394817, -73.4540111 Show Map Loading...

  3. Madison, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Madison, Connecticut: Energy Resources (Redirected from Madison, CT) Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2795429, -72.5984258 Show Map Loading...

  4. Norwalk, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Norwalk, Connecticut: Energy Resources (Redirected from Norwalk, CT) Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.1175966, -73.4078968 Show Map Loading...

  5. New Haven County, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Connecticut North Branford, Connecticut North Haven, Connecticut Orange, Connecticut Oxford, Connecticut Prospect, Connecticut Seymour, Connecticut Southbury, Connecticut...

  6. ,"Connecticut Natural Gas Industrial Price (Dollars per Thousand...

    U.S. Energy Information Administration (EIA) Indexed Site

    292016 12:15:27 AM" "Back to Contents","Data 1: Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CT3" "Date","Connecticut...

  7. New London County, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Electric Co Inc Energy Generation Facilities in New London County, Connecticut American Ref-Fuel of SE CT Biomass Facility Wheelabrator Lisbon Biomass Facility Utility Companies...

  8. Tolland County, Connecticut: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    LLC Catelectric Corp Places in Tolland County, Connecticut Andover, Connecticut Bolton, Connecticut Central Somers, Connecticut Columbia, Connecticut Coventry Lake,...

  9. ALKALINE-SURFACTANT-POLYMER FLOODING AND RESERVOIR CHARACTERIZATION OF THE BRIDGEPORT AND CYPRESS RESERVOIRS OF THE LAWRENCE FIELD

    SciTech Connect (OSTI)

    Malcolm Pitts; Ron Damm; Bev Seyler

    2003-04-01

    Feasibility of alkaline-surfactant-polymer flood for the Lawrence Field in Lawrence County, Illinois is being studied. Two injected formulations are being designed; one for the Bridgeport A and Bridgeport B reservoirs and one for Cypress and Paint Creek reservoirs. Fluid-fluid and coreflood evaluations have developed a chemical solution that produces incremental oil in the laboratory from the Cypress and Paint Creek reservoirs. A chemical formulation for the Bridgeport A and Bridgeport B reservoirs is being developed. A reservoir characterization study is being done on the Bridgeport A, B, & D sandstones, and on the Cypress sandstone. The study covers the pilot flood area and the Lawrence Field.

  10. ALKALINE-SURFACTANT-POLYMER FLOODING AND RESERVOIR CHARACTERIZATION OF THE BRIDGEPORT AND CYPRESS RESERVOIRS OF THE LAWRENCE FIELD

    SciTech Connect (OSTI)

    Malcolm Pitts; Ron Damm; Bev Seyler

    2003-03-01

    Feasibility of alkaline-surfactant-polymer flood for the Lawrence Field in Lawrence County, Illinois is being studied. Two injected formulations are being designed; one for the Bridgeport A and Bridgeport B reservoirs and one for Cypress and Paint Creek reservoirs. Fluid-fluid and coreflood evaluations have developed a chemical solution that produces incremental oil in the laboratory from the Cypress and Paint Creek reservoirs. A chemical formulation for the Bridgeport A and Bridgeport B reservoirs is being developed. A reservoir characterization study is being done on the Bridgeport A, B, & D sandstones, and on the Cypress sandstone. The study covers the pilot flood area and the Lawrence Field.

  11. Connecticut Clean Energy Fund | Open Energy Information

    Open Energy Info (EERE)

    Connecticut Clean Energy Fund Jump to: navigation, search Name: Connecticut Clean Energy Fund Address: 200 Corporate Place Place: Rocky Hill, Connecticut Zip: 06067 Region:...

  12. Connecticut Clean Energy Fund

    Broader source: Energy.gov [DOE]

    Connecticut's 1998 electric restructuring legislation (Public Act 98-28) created separate funds to support energy efficiency and renewable energy.* This information summarizes the renewable energ...

  13. Greenwich, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Registered Energy Companies in Greenwich, Connecticut Davenport Resources LLC Digital Power Capital LLC Registered Financial Organizations in Greenwich, Connecticut Asia...

  14. Connecticut State Historic Preservation Programmatic Agreement...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Connecticut State Historic Preservation Programmatic Agreement Connecticut State Historic Preservation Programmatic Agreement Fully executed programmatic agreement between DOE,...

  15. Connecticut Wells | Open Energy Information

    Open Energy Info (EERE)

    Zip: 6751 Sector: Geothermal energy Product: A Connecticut-based geothermal heat pump installer and well driller. Coordinates: 40.04446, -80.690839 Show Map Loading...

  16. Connecticut's 5th congressional district: Energy Resources |...

    Open Energy Info (EERE)

    in Connecticut. Registered Energy Companies in Connecticut's 5th congressional district Efficiency Lighting & Maintenance Inc Electro Energy Inc FuelCell Energy Inc FuelCell...

  17. Stamford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Connecticut 4 References Registered Energy Companies in Stamford, Connecticut Clean Diesel Technologies Inc International Plasma Sales Group IPSG Natural State Research, Inc....

  18. Litchfield County, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Energy Capital Energy Generation Facilities in Litchfield County, Connecticut New Milford Gas Recovery Biomass Facility Places in Litchfield County, Connecticut Bantam,...

  19. Dominion Retail Inc (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Dominion Retail Inc (Connecticut) Jump to: navigation, search Name: Dominion Retail Inc Place: Connecticut Phone Number: 1-888-216-3718 Website: www.dominionenergy.comen Outage...

  20. Connecticut's 3rd congressional district: Energy Resources |...

    Open Energy Info (EERE)

    can help OpenEI by expanding it. This page represents a congressional district in Connecticut. Registered Energy Companies in Connecticut's 3rd congressional district Avalence...

  1. Connecticut's 2nd congressional district: Energy Resources |...

    Open Energy Info (EERE)

    can help OpenEI by expanding it. This page represents a congressional district in Connecticut. US Recovery Act Smart Grid Projects in Connecticut's 2nd congressional district...

  2. Spark Energy, LP (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Connecticut) Jump to: navigation, search Name: Spark Energy, LP Place: Connecticut Phone Number: 1-877-547-7275 Website: www.sparkenergy.comenconnect Outage Hotline:...

  3. Liberty Power Corp. (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Connecticut) Jump to: navigation, search Name: Liberty Power Corp. Place: Connecticut Phone Number: 1-866-769-3799 Website: www.libertypowercorp.comresid Outage Hotline:...

  4. Suffield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 Registered Energy Companies in Suffield, Connecticut Infinity Fuel Cell and Hydrogen References US Census Bureau Incorporated place and minor civil...

  5. Freedom Energy (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Energy (Connecticut) Jump to: navigation, search Name: Freedom Energy Place: Connecticut Phone Number: (603)-625-2244 Website: felpower.comabout-us Outage Hotline: (603)-625-2244...

  6. CONNECTICUT BIOFUELS TECHNOLOGY PROJECT

    SciTech Connect (OSTI)

    BARTONE, ERIK

    2010-09-28

    DBS Energy Inc. (DBS) intends on using the Connecticut Biofuels Technology Project for the purpose of developing a small-scale electric generating systems that are located on a distributed basis and utilize biodiesel as its principle fuel source. This project will include research and analysis on the quality and applied use of biodiesel for use in electricity production, 2) develop dispatch center for testing and analysis of the reliability of dispatching remote generators operating on a blend of biodiesel and traditional fossil fuels, and 3) analysis and engineering research on fuel storage options for biodiesel of fuels for electric generation.

  7. Veteran's Affairs Health Care System, West Haven, Connecticut...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Veteran's Affairs Health Care System, West Haven, Connecticut Veteran's Affairs Health Care System, West Haven, Connecticut Overview The West Haven (Connecticut) Campus of the...

  8. Covanta Mid-Connecticut Energy Biomass Facility | Open Energy...

    Open Energy Info (EERE)

    Mid-Connecticut Energy Biomass Facility Jump to: navigation, search Name Covanta Mid-Connecticut Energy Biomass Facility Facility Covanta Mid-Connecticut Energy Sector Biomass...

  9. Milford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Milford is a city in New Haven County, Connecticut. It falls under Connecticut's 3rd...

  10. Glacial Energy Holdings (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Connecticut) Jump to: navigation, search Name: Glacial Energy Holdings Place: Connecticut Phone Number: 800.286.2000 or 800.722.5584 Website: www.glacialenergy.comoutage-n Outage...

  11. GEXA Corp. (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    GEXA Corp. (Connecticut) Jump to: navigation, search Name: GEXA Corp. Place: Connecticut Phone Number: 866-961-9399 Website: www.gexaenergy.com Outage Hotline: 866-961-9399...

  12. Workplace Charging Challenge Partner: University of Connecticut |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Connecticut Workplace Charging Challenge Partner: University of Connecticut Workplace Charging Challenge Partner: University of Connecticut The University of Connecticut is committed to leadership in campus sustainability, including objective measurement and clear, concise communications about its progress. Joining the Workplace Charging Challenge commits the University to promoting another great initiative, increasing the usage of plug-in electric vehicles (PEVs) at

  13. DOE - Office of Legacy Management -- Dorr Corp - CT 14

    Office of Legacy Management (LM)

    Dorr Corp - CT 14 FUSRAP Considered Sites Site: Dorr Corp. (CT.14 ) Eliminated from consideration under FUSRAP - Referred to NRC Designated Name: Not Designated Alternate Name: Dorr - Oliver Corporation CT.14-2 Location: 737 Canal Street , Stamford , Connecticut CT.14-2 Evaluation Year: 1990 CT.14-3 Site Operations: Conducted heat treatment tests of source material using depleted uranium in an enclosed calciner CT.14-2 Site Disposition: Eliminated - No Authority - AEC licensed CT.14-3

  14. DOE - Office of Legacy Management -- Fenn Machinery Co - CT 11

    Office of Legacy Management (LM)

    Fenn Machinery Co - CT 11 FUSRAP Considered Sites Site: Fenn Machinery Co. (CT.11 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: New Britain , Connecticut CT.11-1 Evaluation Year: 1987 CT.11-1 Site Operations: Performed short-term tests on small quantities of uranium metal to explore potential for swaging, circa mid-1950 CT.11-1 CT.11-3 Site Disposition: Eliminated - Potential for contamination considered remote due to limited scope of

  15. DOE - Office of Legacy Management -- New Canaan Site - CT 08

    Office of Legacy Management (LM)

    Canaan Site - CT 08 FUSRAP Considered Sites Site: NEW CANAAN SITE (CT.08) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: New Canaan , Connecticut CT.08-1 Evaluation Year: 1985 CT.08-2 Site Operations: None; Investigation of area prompted by public query; no site found in New Canaan. CT.08-1 Site Disposition: Eliminated - No AEC site located in this city CT.08-2 Radioactive Materials Handled: No Primary Radioactive Materials Handled: None

  16. DOE - Office of Legacy Management -- American Brass Co - CT 01

    Office of Legacy Management (LM)

    Brass Co - CT 01 FUSRAP Considered Sites Site: American Brass Co (CT.01 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: Anaconda Company Brass Division CT.01-1 Location: 414 Meadow Street , Waterbury , Connecticut CT.01-1 Evaluation Year: 1986 CT.01-2 Site Operations: Limited work with copper clad uranium billets during the 1950s. CT.01-1 Site Disposition: Eliminated - Potential for contamination considered remote based upon the limited scope of

  17. DOE - Office of Legacy Management -- American Cyanamid Co - CT 13

    Office of Legacy Management (LM)

    Cyanamid Co - CT 13 FUSRAP Considered Sites Site: American Cyanamid Co (CT.13 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Stamford , Connecticut CT.13-1 Evaluation Year: 1987 CT.13-1 Site Operations: Produced boron and possibly handled small amounts of refined radioactive source material circa 1940's. Also possibly performed research work on irradiated "J" slugs in 1952 and 1953. CT.13-1 CT.13-3 Site Disposition:

  18. Market Transformation in Connecticut: Integrating Home Performance Into Existing Trades

    Broader source: Energy.gov [DOE]

    Market Transformation in Connecticut: Integrating Home Performance Into Existing Trades, Evolving to Whole Home Success, Session 2: Sustainable Business Models presentation. Provides an overview of Connecticut's various home energy programs, the Connecticut Energy Efficiency Fund, and contractor involvement.

  19. CONNECTICUT RECOVERY ACT SNAPSHOT | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    The American Recovery & Reinvestment Act (ARRA) is making a meaningful down payment on the nation's energy and environmental future. The Recovery Act investments in Connecticut are supporting a broad range of clean energy projects, from energy efficiency and the smart grid to alternative fuels and geothermal energy. Through these investments, Connecticut's businesses, universities, non-profits, and local governments are creating quality jobs today and positioning Connecticut to play an

  20. Connecticut's Health Impact Study Rapidly Increasing Weatherization

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Efforts | Department of Energy Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts June 18, 2014 - 10:49am Addthis Weatherization workers are trained in the house as a system approach. The Energy Department's Weatherization Assistance Program funded technical assistance as part of Connecticut's Health Impact Assessment project. | Photo courtesy of Weatherization Assistance Program Technical

  1. Mid-Connecticut MRF offers integrated approach

    SciTech Connect (OSTI)

    Thoresen, C.

    1993-11-01

    Mandatory recycling hit Connecticut in 1987, with a goal set at recycling 25% of the state's municipal solid waste. Once municipalities, haulers, and commercial operators were required to separate recyclables from garbage, no project moved forward to take the materials. CRRA already had 44 municipalities using its Mid-Connecticut waste-to-energy facility. The quickest way to accommodate these towns was to move aggressively forward to develop a Mid-Connecticut materials recycling facility and bring the recyclables in.

  2. Wallingford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4570418, -72.8231552 Show Map Loading map... "minzoom":false,"mappingservice":"...

  3. Connecticut Data Dashboard | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Office spreadsheet icon Connecticut Data Dashboard More Documents & Publications Austin Energy Data Dashboard Massachusetts -- SEP Data Dashboard Phoenix, Arizona Data Dashboard

  4. Connecticut Weatherization Project Improves Lives, Receives National...

    Broader source: Energy.gov (indexed) [DOE]

    collaborated on this upgrade, including: New Opportunities, Inc., the local WAP sub grantee, which utilized funding from the Connecticut Department of Energy and...

  5. ,"Connecticut Natural Gas LNG Storage Additions (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas LNG Storage Additions (MMcf)",1,"Annual",2014 ,"Release Date:","9302015" ,"Next Release...

  6. ,"Connecticut Natural Gas LNG Storage Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas LNG Storage Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","9302015" ,"Next Release...

  7. Guilford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    lt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map Guilford is a town in New Haven County, Connecticut.1 Registered Energy Companies in...

  8. Connecticut/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Connecticut Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  9. Branford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Connecticut Apricus Solar References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  10. Granby, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  11. Hartland, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  12. Chaplin, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  13. Farmington, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  14. Marlborough, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  15. Ridgefield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  16. Simsbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  17. Stamford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Registered Energy Companies in Stamford, Connecticut Clean Diesel Technologies Inc International Plasma Sales Group IPSG Natural State Research, Inc. Noble Americas...

  18. Portland, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titlePortland,Connecticut&oldid...

  19. Middlefield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleMiddlefield,Connecticut&old...

  20. Wethersfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleWethersfield,Connecticut&ol...

  1. Weston, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Weston, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2009294, -73.3806748 Show Map Loading map... "minzoom":false,"mappingse...

  2. Connecticut Light & Power- Small ZREC Tariff

    Broader source: Energy.gov [DOE]

    In July 2011, Connecticut enacted legislation amending the state's Renewables Portfolio Standard and creating two new classes of renewable energy credits (RECs): Zero Emission Renewable Energy...

  3. Fairfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Fairfield, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.1412077, -73.2637258 Show Map Loading map... "minzoom":false,"mappin...

  4. Bethlehem, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Bethlehem, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6398184, -73.2084471 Show Map Loading map... "minzoom":false,"mappin...

  5. Glastonbury Center, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Glastonbury Center, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7009327, -72.5995347 Show Map Loading map......

  6. Quinebaug, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Quinebaug, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.0237077, -71.9497954 Show Map Loading map... "minzoom":false,"mappin...

  7. Sherman, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Sherman, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5792607, -73.4956795 Show Map Loading map... "minzoom":false,"mappings...

  8. Middlesex County, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Middlesex County, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4698505, -72.4731529 Show Map Loading map......

  9. Lake Pocotopaug, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Lake Pocotopaug, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5984325, -72.5103654 Show Map Loading map......

  10. Simsbury Center, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Simsbury Center, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.88295, -72.81138 Show Map Loading map... "minzoom":false,"mapp...

  11. Lyme, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Lyme, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.400812, -72.3429525 Show Map Loading map... "minzoom":false,"mappingservi...

  12. Canterbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Canterbury, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6984319, -71.9709075 Show Map Loading map... "minzoom":false,"mappi...

  13. Woodstock, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Woodstock, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9484307, -71.9739625 Show Map Loading map... "minzoom":false,"mappin...

  14. Newington, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Newington, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6978777, -72.7237063 Show Map Loading map... "minzoom":false,"mappin...

  15. Stratford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Stratford, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.1845415, -73.1331651 Show Map Loading map... "minzoom":false,"mappin...

  16. Norwalk, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Norwalk, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.1175966, -73.4078968 Show Map Loading map... "minzoom":false,"mappings...

  17. Plainfield Village, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Plainfield Village, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6753587, -71.9253141 Show Map Loading map......

  18. Clinton, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Clinton, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2787104, -72.5275903 Show Map Loading map... "minzoom":false,"mappings...

  19. Westbrook Center, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Westbrook Center, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.28008, -72.443454 Show Map Loading map......

  20. Shelton, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Shelton, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3164856, -73.0931641 Show Map Loading map... "minzoom":false,"mappings...

  1. Chester, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Chester, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4031547, -72.4509204 Show Map Loading map... "minzoom":false,"mappings...

  2. Trumbull, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Trumbull, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2428742, -73.2006687 Show Map Loading map... "minzoom":false,"mapping...

  3. Burlington, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Burlington, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7692648, -72.9645484 Show Map Loading map... "minzoom":false,"mappi...

  4. Bristol, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Bristol, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6717648, -72.9492703 Show Map Loading map... "minzoom":false,"mappings...

  5. Eastford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Eastford, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9020418, -72.0797979 Show Map Loading map... "minzoom":false,"mapping...

  6. Hampton, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hampton, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7839873, -72.0547977 Show Map Loading map... "minzoom":false,"mappings...

  7. Brooklyn, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Brooklyn, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7881541, -71.9497957 Show Map Loading map... "minzoom":false,"mapping...

  8. Moosup, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Moosup, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7128767, -71.8809054 Show Map Loading map... "minzoom":false,"mappingse...

  9. Berlin, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Berlin, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.621488, -72.7456519 Show Map Loading map... "minzoom":false,"mappingser...

  10. Wilton, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Wilton, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.1953739, -73.4378988 Show Map Loading map... "minzoom":false,"mappingse...

  11. Moodus, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Moodus, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5028768, -72.4500867 Show Map Loading map... "minzoom":false,"mappingse...

  12. Thompsonville, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Thompsonville, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9970407, -72.5989777 Show Map Loading map......

  13. Middletown, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Middletown, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5623209, -72.6506488 Show Map Loading map... "minzoom":false,"mappi...

  14. Central Manchester, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Central Manchester, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7812924, -72.514567 Show Map Loading map......

  15. South Woodstock, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    South Woodstock, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9389864, -71.9595179 Show Map Loading map......

  16. Plainfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Plainfield, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6764876, -71.915073 Show Map Loading map... "minzoom":false,"mappin...

  17. Enfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Enfield, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9762077, -72.5917554 Show Map Loading map... "minzoom":false,"mappings...

  18. Plainville, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Plainville, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6745432, -72.8581558 Show Map Loading map... "minzoom":false,"mappi...

  19. Killingworth, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Killingworth, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3581545, -72.5637023 Show Map Loading map... "minzoom":false,"map...

  20. Southwood Acres, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Southwood Acres, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.962567, -72.571962 Show Map Loading map......

  1. Monroe, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Monroe, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3325962, -73.2073358 Show Map Loading map... "minzoom":false,"mappingse...

  2. Georgetown, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Georgetown, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2556512, -73.4348438 Show Map Loading map... "minzoom":false,"mappi...

  3. Essex, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Essex, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.353432, -72.3906406 Show Map Loading map... "minzoom":false,"mappingserv...

  4. Canton, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Canton, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8245424, -72.8937122 Show Map Loading map... "minzoom":false,"mappingse...

  5. Haddam, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Haddam, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4773213, -72.5120333 Show Map Loading map... "minzoom":false,"mappingse...

  6. Killingly, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Killingly, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8122401, -71.8334145 Show Map Loading map... "minzoom":false,"mappin...

  7. Westbrook, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Westbrook, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2853769, -72.4475874 Show Map Loading map... "minzoom":false,"mappin...

  8. Storrs, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Storrs, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8084314, -72.2495231 Show Map Loading map... "minzoom":false,"mappingse...

  9. Yalesville, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Yalesville, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4937084, -72.8237109 Show Map Loading map... "minzoom":false,"mappi...

  10. Putnam, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Putnam, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9150978, -71.9089613 Show Map Loading map... "minzoom":false,"mappingse...

  11. Hartford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hartford, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7637111, -72.6850932 Show Map Loading map... "minzoom":false,"mapping...

  12. Southington, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Southington, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5964869, -72.8776013 Show Map Loading map... "minzoom":false,"mapp...

  13. Collinsville, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Collinsville, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8128757, -72.9201022 Show Map Loading map... "minzoom":false,"map...

  14. Windham, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Windham, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6998208, -72.1570219 Show Map Loading map... "minzoom":false,"mappings...

  15. Southbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Southbury, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4814847, -73.2131693 Show Map Loading map... "minzoom":false,"mappin...

  16. Putnam District, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Putnam District, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9257629, -71.9104934 Show Map Loading map......

  17. Hazardville, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hazardville, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9873187, -72.5448093 Show Map Loading map... "minzoom":false,"mapp...

  18. Higganum, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Higganum, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4970432, -72.5570348 Show Map Loading map... "minzoom":false,"mapping...

  19. Wauregan, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Wauregan, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7442655, -71.9092393 Show Map Loading map... "minzoom":false,"mapping...

  20. Salisbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Salisbury, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.983426, -73.4212318 Show Map Loading map... "minzoom":false,"mapping...

  1. Ashford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Ashford, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8731532, -72.1214653 Show Map Loading map... "minzoom":false,"mappings...

  2. Norwich, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Norwich, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5242649, -72.0759105 Show Map Loading map... "minzoom":false,"mappings...

  3. Weatogue, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Weatogue, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8437093, -72.8284317 Show Map Loading map... "minzoom":false,"mapping...

  4. Brookfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Brookfield, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4825947, -73.4095652 Show Map Loading map... "minzoom":false,"mappi...

  5. Tariffville, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Tariffville, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9087087, -72.7600951 Show Map Loading map... "minzoom":false,"mapp...

  6. Scotland, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Scotland, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6984319, -72.081465 Show Map Loading map... "minzoom":false,"mappings...

  7. Sterling, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Sterling, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.707599, -71.828682 Show Map Loading map... "minzoom":false,"mappingse...

  8. Westport, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Westport, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.1414855, -73.3578955 Show Map Loading map... "minzoom":false,"mapping...

  9. Willimantic, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Willimantic, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7106543, -72.2081338 Show Map Loading map... "minzoom":false,"mapp...

  10. Bloomfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Bloomfield, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.826488, -72.7300945 Show Map Loading map... "minzoom":false,"mappin...

  11. Fenwick, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Fenwick, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2709316, -72.3536947 Show Map Loading map... "minzoom":false,"mappings...

  12. Cromwell, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Cromwell, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5950989, -72.6453705 Show Map Loading map... "minzoom":false,"mapping...

  13. Pomfret, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Pomfret, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8975977, -71.9625736 Show Map Loading map... "minzoom":false,"mappings...

  14. Redding, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Redding, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3025955, -73.3834532 Show Map Loading map... "minzoom":false,"mappings...

  15. Kensington, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Kensington, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6353769, -72.7687083 Show Map Loading map... "minzoom":false,"mappi...

  16. Danielson, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Danielson, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8025986, -71.8859054 Show Map Loading map... "minzoom":false,"mappin...

  17. Glastonbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Glastonbury, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7123218, -72.608146 Show Map Loading map... "minzoom":false,"mappi...

  18. Newtown, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Newtown, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4139843, -73.3034505 Show Map Loading map... "minzoom":false,"mappings...

  19. Easton, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Easton, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2528738, -73.2973394 Show Map Loading map... "minzoom":false,"mappingse...

  20. Durham, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Durham, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4817647, -72.6812059 Show Map Loading map... "minzoom":false,"mappingse...

  1. Manchester, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Manchester, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7759324, -72.5214754 Show Map Loading map... "minzoom":false,"mappi...

  2. Avon, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    "alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map Avon is a town in Hartford County, Connecticut.1 Registered Energy Companies in Avon,...

  3. Danbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Danbury, Connecticut Electro Energy Inc FuelCell Energy Inc FuelCell Energy, Inc. New England Energy Management Inc Praxair Technipower Systems formerly Solomon...

  4. Windsor, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district.12 Registered Energy Companies in Windsor, Connecticut Infinity Fuel Cell and Hydrogen Inc References US Census Bureau Incorporated place and minor...

  5. Connecticut's 1st congressional district: Energy Resources |...

    Open Energy Info (EERE)

    1st congressional district Aztech Engineers Connecticut Light and Power Infinity Fuel Cell and Hydrogen Inc LiquidPiston Inc Nxegen SmartPower United Technologies Corp...

  6. Hartford County, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Systems Connecticut Light and Power DBS Energy Inc Energy Recovery Associates Infinity Fuel Cell and Hydrogen National Energy Resource Corporation Pioneer Valley Photovoltaics...

  7. Thompson, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Thompson, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9587089, -71.8625715 Show Map Loading map... "minzoom":false,"mapping...

  8. Energy Plus Holdings LLC (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Energy Plus Holdings LLC (Connecticut) Jump to: navigation, search Name: Energy Plus Holdings LLC Place: Connecticut Phone Number: 1-888-766-3509 Website: www.energypluscompany.com...

  9. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Preliminary...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Preliminary Evaluation Results Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Preliminary Evaluation Results This...

  10. Hess Retail Natural Gas and Elec. Acctg. (Connecticut) | Open...

    Open Energy Info (EERE)

    Hess Retail Natural Gas and Elec. Acctg. (Connecticut) Jump to: navigation, search Name: Hess Retail Natural Gas and Elec. Acctg. Place: Connecticut Phone Number: 212-997-8500...

  11. Integrys Energy Services, Inc. (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Integrys Energy Services, Inc. (Connecticut) Jump to: navigation, search Name: Integrys Energy Services, Inc. Place: Connecticut Phone Number: 1-866-938-2139 Website:...

  12. City of South Norwalk, Connecticut (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    South Norwalk, Connecticut (Utility Company) Jump to: navigation, search Name: City of South Norwalk Place: Connecticut Phone Number: (203) 866-3366 Website: snew.org Outage...

  13. Clean Cities: Connecticut Southwestern Area Clean Cities coalition

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Connecticut Southwestern Area Clean Cities Coalition The Connecticut Southwestern Area Clean Cities coalition works with vehicle fleets, fuel providers, community leaders, and...

  14. City of Norwich, Connecticut (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Norwich, Connecticut (Utility Company) Jump to: navigation, search Name: City of Norwich Place: Connecticut Phone Number: (860) 887-2555 Website: norwichpublicutilities.com...

  15. City of Jewett City, Connecticut (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Jewett City, Connecticut (Utility Company) Jump to: navigation, search Name: Jewett City City of Place: Connecticut Phone Number: (860) 376-2877 Website: jewettcitydpu.com Outage...

  16. South Jersey Energy Company (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Company (Connecticut) Jump to: navigation, search Name: South Jersey Energy Company Place: Connecticut Phone Number: 800-266-6020 Website: www.southjerseyenergy.com Twitter:...

  17. Clean Cities: Capitol Clean Cities of Connecticut coalition

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Capitol Clean Cities of Connecticut Coalition The Capitol Clean Cities of Connecticut coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders...

  18. Noble Americas Energy Solutions LLC (Connecticut) | Open Energy...

    Open Energy Info (EERE)

    LLC (Connecticut) Jump to: navigation, search Name: Noble Americas Energy Solutions LLC Place: Connecticut Phone Number: 1 877273-6772 Website: www.noblesolutions.com Outage...

  19. New Canaan, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 Registered Financial Organizations in New Canaan, Connecticut Advanced Materials Partners Inc References US Census Bureau Incorporated place and minor...

  20. Consolidated Edison Sol Inc (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Consolidated Edison Sol Inc (Connecticut) Jump to: navigation, search Name: Consolidated Edison Sol Inc Place: Connecticut Phone Number: 1-888-320-8991 Website:...

  1. Sandy Hook, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hook is a city in Connecticut.1 Registered Energy Companies in Sandy Hook, Connecticut Environmental Energy Services Inc References US Census Bureau Incorporated place and...

  2. Suez Energy Resources North America (Connecticut) | Open Energy...

    Open Energy Info (EERE)

    Suez Energy Resources North America (Connecticut) Jump to: navigation, search Name: Suez Energy Resources North America Place: Connecticut Phone Number: 713.636.0000 or...

  3. DOE - Office of Legacy Management -- Sperry Products Inc - CT 07

    Office of Legacy Management (LM)

    Sperry Products Inc - CT 07 FUSRAP Considered Sites Site: SPERRY PRODUCTS, INC. (CT.07) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Danbury , Connecticut CT.07-1 Evaluation Year: 1994 CT.07-2 Site Operations: Performed tests involving non-destructive inspection techniques in the 1950s. CT.07-3 Site Disposition: Eliminated - Potential for contamination considered remote based on the limited scope of activities performed at the site

  4. DOE - Office of Legacy Management -- Wesleyan University - CT 12

    Office of Legacy Management (LM)

    Wesleyan University - CT 12 FUSRAP Considered Sites Site: Wesleyan University (CT.12 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Middletown , Connecticut CT.12-1 Evaluation Year: 1995 CT.12-2 Site Operations: Spectrographic research on small quantities of uranium wire (several inches in length) in Physics Department circa late 1950. CT.12-1 Site Disposition: Eliminated - Potential for contamination considered remote due to the

  5. Connecticut Weatherization Project Improves Lives, Receives National

    Office of Environmental Management (EM)

    Recognition | Department of Energy Connecticut Weatherization Project Improves Lives, Receives National Recognition Connecticut Weatherization Project Improves Lives, Receives National Recognition May 6, 2014 - 12:24pm Addthis Donna Hawkins Technology Transfer Specialist, Weatherization Assistance Program Harris Walker Communications Specialist, Weatherization and Intergovernmental Program MORE WEATHERIZATION STORIES Improving Energy Efficiency and Creating Jobs through Weatherization

  6. Connecticut Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut nuclear power plants, summer capacity and net generation, 2010" "Plant name/total reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net generation (percent)","Owner" "Millstone Unit 2, Unit 3","2,103","16,750",100.0,"Dominion Nuclear Conn Inc" "1 Plant 2 Reactors","2,103","16,750",100.0

  7. DOE - Office of Legacy Management -- Combustion Engineering Co - CT 03

    Office of Legacy Management (LM)

    Combustion Engineering Co - CT 03 FUSRAP Considered Sites Site: Combustion Engineering, CT (CT.03 ) Cleanup in progress by U.S. Army Corps of Engineers. Designated Name: Combustion Engineering Alternate Name: CE Site Asea Brown Boveri S1C Prototype CT.03-1 Location: 1000 Prospect Hill Road, Windsor, Connecticut CT.03-2 Evaluation Year: 1994 CT.03-1 Site Operations: Used natural, enriched, and highly enriched uranium to make fuel assemblies for the AEC. CT.03-3 CT.03-4 Site Disposition: Eligible

  8. Update of Summer Reformulated Gasoline Supply Assessment for New York and Connecticut

    Reports and Publications (EIA)

    2004-01-01

    In October 2003, the Energy Information Administration (EIA) published a review of the status of the methyl tertiary butyl ether (MTBE) ban transition in New York (NY) and Connecticut (CT) that noted significant uncertainties in gasoline supply for those states for the summer of 2004. To obtain updated information, EIA spoke to major suppliers to the two states over the past several months as the petroleum industry began the switch from winter- to summer-grade gasoline.

  9. Strategic Energy LLC (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Strategic Energy LLC Place: Connecticut References: EIA Form EIA-861 Final Data File for 2010 - File220101 EIA Form 861 Data Utility Id 18193 This article is a stub. You can...

  10. DOE - Office of Legacy Management -- New England Lime Co - CT 10

    Office of Legacy Management (LM)

    England Lime Co - CT 10 FUSRAP Considered Sites Site: NEW ENGLAND LIME CO. (CT.10) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: NELCO (Magnesium Division) CT.10-1 Location: Canaan , Connecticut CT.10-2 Evaluation Year: 1987 CT.10-1 Site Operations: AEC source for magnesium and calcium. Conducted limited tests to evaluate potential for recovery of magnesium from uranium residues. CT.10-2 Site Disposition: Eliminated - Potential for contamination

  11. DOE - Office of Legacy Management -- Yale Heavy Ion Linear Accelerator - CT

    Office of Legacy Management (LM)

    05 Yale Heavy Ion Linear Accelerator - CT 05 FUSRAP Considered Sites Site: Yale Heavy Ion Linear Accelerator (CT.05) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: New Haven , Connecticut CT.05-1 Evaluation Year: 1987 CT.05-3 Site Operations: Research and development with solvents. CT.05-1 Site Disposition: Eliminated - Potential for contamination remote based on limited amount of materials handled CT.05-3 Radioactive Materials

  12. CX-002340: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Connecticut Clean Cities Future Fuels Project - BridgeportCX(s) Applied: B5.1Date: 05/11/2010Location(s): Bridgeport, ConnecticutOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  13. Title 10 Chapter 45 Connecticut River Flood Control Compact ...

    Open Energy Info (EERE)

    5 Connecticut River Flood Control Compact Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: Title 10 Chapter 45 Connecticut River...

  14. Veteran's Affairs Health Care System, West Haven, Connecticut | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Veteran's Affairs Health Care System, West Haven, Connecticut Veteran's Affairs Health Care System, West Haven, Connecticut Overview The West Haven (Connecticut) Campus of the Veterans Affairs Connecticut Health Care System was the first Veteran's Hospital to award a shared energy savings (SES) contract (now known as energy savings performance contracts). The project involves replacement of the lighting system, installation of a cooling system, maintenance of the new chiller

  15. Connecticut Fuel Cell Activities: Markets, Programs, and Models

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Connecticut Fuel Cell Activities: Markets, Programs, & Models DOE State's Call - December 16, 2009 Joel M. Rinebold 2 2 * Connecticut Hydrogen Roadmap (Fuel Cell Economic Development Plan) * A National "Green Energy" Economic Stimulus Plan based on Investment in the Hydrogen and Fuel Cell Industry * Connecticut DOT Plan for Hydrogen Stations and Zero Emission Fuel Cell Vehicles (In Development) * Renewable Portfolio Standards * Project 150 and Grant Programs * Connecticut Hydrogen

  16. Connecticut Fuel Cell Programs - From Demonstration to Deployment

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Connecticut Fuel Cell Programs - From Demonstration to Deployment September 12, 2007 Lise Dondy, President Keith Frame, Assoc. Director Connecticut Clean Energy Fund Connecticut Clean Energy Fund (CCEF) Legislation 1998 / Launch 2000 Administered by Connecticut Innovations (CI) Surcharge on electric bills→ ~$20 million per year 50¢ per household per month CCEF Highlights As of 06/30/07: Projects Funded/Committed $ 75.4 Million Program Allocations $ 65.2 Million Vision, Mission, and Approach

  17. Connecticut Recovery Act State Memo | Department of Energy

    Office of Environmental Management (EM)

    Connecticut Recovery Act State Memo Connecticut Recovery Act State Memo The American Recovery & Reinvestment Act (ARRA) is making a meaningful downpayment on the nation's energy and environmental future. The Recovery Act investments in Connecticut are supporting abroad range of clean energy projects, from energy efficiency and the smartgrid to alternative fuels and geothermal energy. Through these investments, Connecticut's businesses, universities,non-profits, and local governments are

  18. Alternative Fuels Data Center: Connecticut Transportation Data for

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Alternative Fuels and Vehicles Connecticut Transportation Data for Alternative Fuels and Vehicles to someone by E-mail Share Alternative Fuels Data Center: Connecticut Transportation Data for Alternative Fuels and Vehicles on Facebook Tweet about Alternative Fuels Data Center: Connecticut Transportation Data for Alternative Fuels and Vehicles on Twitter Bookmark Alternative Fuels Data Center: Connecticut Transportation Data for Alternative Fuels and Vehicles on Google Bookmark Alternative

  19. Alternative Fuels Data Center: Connecticut Utility Fleet Operates Vehicles

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    on Alternative Fuels Connecticut Utility Fleet Operates Vehicles on Alternative Fuels to someone by E-mail Share Alternative Fuels Data Center: Connecticut Utility Fleet Operates Vehicles on Alternative Fuels on Facebook Tweet about Alternative Fuels Data Center: Connecticut Utility Fleet Operates Vehicles on Alternative Fuels on Twitter Bookmark Alternative Fuels Data Center: Connecticut Utility Fleet Operates Vehicles on Alternative Fuels on Google Bookmark Alternative Fuels Data Center:

  20. Confirmatory Survey Results for the Emergency Operations Facility (EOF) at the Connecticut Yankee Haddam Neck Plant, Haddam, Connecticut

    SciTech Connect (OSTI)

    W. C. Adams

    2007-07-03

    The U.S. Nuclear Regulatory Commission (NRC) requested that the Oak Ridge Institute for Science and Education (ORISE) perform a confirmatory survey on the Emergency Operations Facility (EOF) at the Connecticut Yankee Haddam Neck Plant (HNP) in Haddam, Connecticut

  1. Connecticut Summary of Reported Data | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Summary of Reported Data Connecticut Summary of Reported Data Summary of data reported by Better Buildings Neighborhood Program partner Connecticut. PDF icon Connecticut Summary of Reported Data More Documents & Publications Virginia -- SEP Summary of Reported Data University Park Summary of Reported Data Alabama -- SEP Summary of Reported Data

  2. DOE - Office of Legacy Management -- Metals Selling Corp - CT 0-01

    Office of Legacy Management (LM)

    Selling Corp - CT 0-01 FUSRAP Considered Sites Site: METALS SELLING CORP. (CT.0-01 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Putnam , Connecticut CT.0-01-1 Evaluation Year: 1986 CT.0-01-1 Site Operations: Performed grinding of (non-radioactive) magnesium circa 1950 -1952 as a sub-contractor to Mallinckrodt Corp. CT.0-01-1 Site Disposition: Eliminated - No indication that radioactive materials were handled at this location

  3. CT. L-2 United States Government

    Office of Legacy Management (LM)

    7325.8 (a-a9J - EFG (OMOJ CT. L-2 United States Government 8 ",> I,: Ti -& d .- " * memorandum (' -. r_l DATE: AUG 10 1993 REPLY TO ATTN OF: EM-421 (W. Williams, 903-8149) SUSJECT: Hazard Assessment for Radioactive Contamination at the Seymour Site, Seymour, Connecticut To' L. Price, OR - We have reviewed the Hazard Assessment for the Radioactive Contamination at the Sevmour Site. Sevmour, Connecticut dated May 1993. This hazard assessment is related to residual radioaciive

  4. Connecticut Rooftop Solar PV Permitting Guide

    Broader source: Energy.gov [DOE]

    The Connecticut Rooftop Solar PV Permitting Guide is a compilation of best practices and resources for solar PV permitting. The guide includes a summary of current codes and regulations affecting solar PV, best practices for streamlining the municipal permitting process, and tools to assist municipalities in creating a streamlined permit process for residential solar PV. Resources include a solar PV permit application, a structural review worksheet, an inspection checklist, and a model solar zoning ordinance.

  5. Connecticut Fuel Cell Programs - From Demonstration to Deployment |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Programs - From Demonstration to Deployment Connecticut Fuel Cell Programs - From Demonstration to Deployment Presentation by the Connecticut Clean Energy Fund on Connecticut fuel cell programs. Presented September 12, 2007. PDF icon doe_nha.pdf More Documents & Publications CESA-fuelcell-advancing-state-policies2010.pdf State of the States: Fuel Cells in America 2011 State of the States: Fuel Cells in America 2014

  6. Connecticut launches nation's first statewide Home Energy Score Program |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Connecticut launches nation's first statewide Home Energy Score Program Connecticut launches nation's first statewide Home Energy Score Program May 19, 2015 - 5:21pm Addthis Connecticut launches nation’s first statewide Home Energy Score Program Joan Glickman Senior Advisor & Program Manager, Home Energy Score Program, Building Technologies Office What are the key facts? Home Energy Score is a free tool from the Department of Energy that provides an energy

  7. Connecticut Summary of Reported Data | Department of Energy

    Energy Savers [EERE]

    PDF icon Connecticut Summary of Reported Data More Documents & Publications Virginia -- SEP Summary of Reported Data University Park Summary of Reported Data Alabama --...

  8. Salmon Brook, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Brook, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9564854, -72.795374 Show Map Loading map... "minzoom":false,"mappingserv...

  9. Broad Brook, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Broad Brook, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9123195, -72.5450873 Show Map Loading map... "minzoom":false,"mapp...

  10. East Granby, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  11. East Windsor, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  12. New Fairfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  13. East Hartford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  14. East Haddam, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleEastHaddam,Connecticut&old...

  15. East Hampton, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleEastHampton,Connecticut&ol...

  16. Old Saybrook, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleOldSaybrook,Connecticut&ol...

  17. Constellation NewEnergy, Inc (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Place: Connecticut Phone Number: 1-866-237-7693 Website: www.constellation.comresident Twitter: @ConstellationEG Facebook: https:www.facebook.comConstellationEnergy Outage...

  18. West Hartford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    "alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map West Hartford is a town in Hartford County, Connecticut.1 References US Census Bureau...

  19. Connecticut Price of Natural Gas Sold to Commercial Consumers...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sold to Commercial Consumers (Dollars per Thousand Cubic Feet) Connecticut Price of Natural Gas Sold to Commercial Consumers (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr...

  20. Sherwood Manor, Connecticut: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Sherwood Manor, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.0134293, -72.5642544 Show Map Loading map......

  1. South Windham, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    South Windham, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.679543, -72.1703555 Show Map Loading map... "minzoom":false,"map...

  2. North Granby, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    North Granby, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.017967, -72.843623 Show Map Loading map... "minzoom":false,"mappi...

  3. Chester Center, Connecticut: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Chester Center, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.400461, -72.453803 Show Map Loading map... "minzoom":false,"map...

  4. Essex Village, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Essex Village, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.355949, -72.389488 Show Map Loading map... "minzoom":false,"mapp...

  5. Deep River, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Deep River, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3856546, -72.4356422 Show Map Loading map... "minzoom":false,"mappi...

  6. Canton Valley, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Canton Valley, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8342645, -72.8917676 Show Map Loading map......

  7. Deep River Center, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Deep River Center, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3729131, -72.4435674 Show Map Loading map......

  8. North Grosvenor Dale, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    North Grosvenor Dale, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9856531, -71.8986833 Show Map Loading map......

  9. Old Saybrook Center, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Old Saybrook Center, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2917769, -72.3607108 Show Map Loading map......

  10. Saybrook Manor, Connecticut: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Saybrook Manor, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.2853765, -72.3989743 Show Map Loading map......

  11. South Windsor, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    South Windsor, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.8489872, -72.5717551 Show Map Loading map......

  12. East Brooklyn, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    East Brooklyn, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7967652, -71.8972946 Show Map Loading map......

  13. New Britain, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    New Britain, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6612104, -72.7795419 Show Map Loading map... "minzoom":false,"mapp...

  14. Suffield Depot, Connecticut: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Suffield Depot, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9812074, -72.6498129 Show Map Loading map......

  15. New Haven, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    New Haven, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3081527, -72.9281577 Show Map Loading map... "minzoom":false,"mappin...

  16. Windsor Locks, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Windsor Locks, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9292639, -72.6273123 Show Map Loading map......

  17. Workplace Charging Challenge Partner: Eastern Connecticut State University

    Broader source: Energy.gov [DOE]

    As part of the University's commitment to Sustainability, Eastern Connecticut State University installed its first Level 2 charging station in December 2014, creating two charging spots. Located in...

  18. Connecticut Fuel Cell Activities: Markets, Programs, and Models

    Broader source: Energy.gov [DOE]

    Presented by the Connecticut Center for Advanced Technology, Inc. at the bi-monthly informational call for the DOE Fuel Cell Technologies Program on December 16, 2009

  19. EERE Success Story-California and Connecticut: National Fuel...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    The 12-month status report includes data collected from 18 fuel cell electric buses at three transit agencies: Alameda-Contra Costa Transit District, Connecticut Transit, and ...

  20. ,"Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand...

    U.S. Energy Information Administration (EIA) Indexed Site

    Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release...

  1. ,"Connecticut Natural Gas Price Sold to Electric Power Consumers...

    U.S. Energy Information Administration (EIA) Indexed Site

    Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

  2. Connecticut Fuel Cell Activities: Markets, Programs, and Models...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and Models Presented by the Connecticut Center for Advanced Technology, Inc. at the bi-monthly informational call for the DOE Fuel Cell Technologies Program on December 16,...

  3. Reservoir Characterization of Bridgeport and Cypress Sandstones in Lawrence Field Illinois to Improve Petroleum Recovery by Alkaline-Surfactant-Polymer Flood

    SciTech Connect (OSTI)

    Seyler, Beverly; Grube, John; Huff, Bryan; Webb, Nathan; Damico, James; Blakley, Curt; Madhavan, Vineeth; Johanek, Philip; Frailey, Scott

    2012-12-21

    Within the Illinois Basin, most of the oilfields are mature and have been extensively waterflooded with water cuts that range up to 99% in many of the larger fields. In order to maximize production of significant remaining mobile oil from these fields, new recovery techniques need to be researched and applied. The purpose of this project was to conduct reservoir characterization studies supporting Alkaline-Surfactant-Polymer Floods in two distinct sandstone reservoirs in Lawrence Field, Lawrence County, Illinois. A project using alkaline-surfactantpolymer (ASP) has been established in the century old Lawrence Field in southeastern Illinois where original oil in place (OOIP) is estimated at over a billion barrels and 400 million barrels have been recovered leaving more than 600 million barrels as an EOR target. Radial core flood analysis using core from the field demonstrated recoveries greater than 20% of OOIP. While the lab results are likely optimistic to actual field performance, the ASP tests indicate that substantial reserves could be recovered even if the field results are 5 to 10% of OOIP. Reservoir characterization is a key factor in the success of any EOR application. Reservoirs within the Illinois Basin are frequently characterized as being highly compartmentalized resulting in multiple flow unit configurations. The research conducted on Lawrence Field focused on characteristics that define reservoir compartmentalization in order to delineate preferred target areas so that the chemical flood can be designed and implemented for the greatest recovery potential. Along with traditional facies mapping, core analyses and petrographic analyses, conceptual geological models were constructed and used to develop 3D geocellular models, a valuable tool for visualizing reservoir architecture and also a prerequisite for reservoir simulation modeling. Cores were described and potential permeability barriers were correlated using geophysical logs. Petrographic analyses were used to better understand porosity and permeability trends in the region and to characterize barriers and define flow units. Diagenetic alterations that impact porosity and permeability include development of quartz overgrowths, sutured quartz grains, dissolution of feldspar grains, formation of clay mineral coatings on grains, and calcite cementation. Many of these alterations are controlled by facies. Mapping efforts identified distinct flow units in the northern part of the field showing that the Pennsylvanian Bridgeport consists of a series of thick incised channel fill sequences. The sandstones are about 75-150 feet thick and typically consist of medium grained and poorly sorted fluvial to distributary channel fill deposits at the base. The sandstones become indistinctly bedded distributary channel deposits in the main part of the reservoir before fining upwards and becoming more tidally influenced near their top. These channel deposits have core permeabilities ranging from 20 md to well over 1000 md. The tidally influenced deposits are more compartmentalized compared to the thicker and more continuous basal fluvial deposits. Fine grained sandstones that are laterally equivalent to the thicker channel type deposits have permeabilities rarely reaching above 250 md. Most of the unrecovered oil in Lawrence Field is contained in Pennsylvanian Age Bridgeport sandstones and Mississippian Age Cypress sandstones. These reservoirs are highly complex and compartmentalized. Detailed reservoir characterization including the development of 3-D geologic and geocellular models of target areas in the field were completed to identify areas with the best potential to recover remaining reserves including unswept and by-passed oil. This project consisted of tasks designed to compile, interpret, and analyze the data required to conduct reservoir characterization for the Bridgeport and Cypress sandstones in pilot areas in anticipation of expanded implementation of ASP flooding in Lawrence Field. Geologic and geocellular modeling needed for reservoir characterization and reservoir simulation were completed as prerequisites for design of efficient ASP flood patterns. Characterizing the complex reservoir geology that identifies the geologic conditions that will optimize oil recoveries for expansion of the ASP pilots in the Bridgeport and Cypress sandstones to other areas of Lawrence Field is the primary objective of this project. It will permit evaluation of efficiency of oil recovery from Bridgeport and Cypress sandstone reservoirs using ASP technology. Additionally evaluation of similar Pennsylvanian and Chesterian reservoirs shows that it is likely that ASP flood technology can be successfully applied to similar reservoirs in the Illinois Basin as well as to other U.S. reservoirs. Chemical flooding was introduced in stages with the first flood initiated in 2010 and a second offset pilot project initiated during 2011. Rex Energy Corporation is reporting a positive response on its ASP Middagh pilot project in the Pennsylvanian Bridgeport B reservoir, Lawrence Field. Oil response in the 15 acre flood has continued to show an increase in oil cut from 1% to 12%. Total pattern production increased from 16 BOPD and stabilized at a range of 65-75 BOPD in the last three months of 2011. Peak production rose to 100 + BOPD. Oil cut in the pilot increased for 1.0% to ~ 12.0% with an individual well showing oil cuts greater than 20%. A second, 58 acre pilot (Perkins-Smith) adjacent to and likely in communication with the Middagh pilot has been initiated. Preliminary brine injection has been implemented and ASP injection was initiated in mid-2012. Response is expected by mid-2013 with peak recovery expected by late 2013. Rex Energy is projecting full scale expansion with the next step of development being a 351 acre project scheduled to begin in mid-2013. Preliminary development has been initiated in this Delta Unit area located in the south half of section 32, T4N, R12W.

  4. The Performance House: A Cold Climate Challenge Home, Old Greenwich, Connecticut (Fact Sheet), Building America Case Study: Whole-House Solutions for New Homes, Building Technologies Office (BTO)

    Energy Savers [EERE]

    The Performance House: A Cold Climate Challenge Home Old Greenwich, Connecticut PROJECT INFORMATION Project Name: Performance House Location: Old Greenwich, CT Partners: Preferred Builders Inc. www.preferredbuilders.biz Consortium for Advanced Residential Buildings www.carb-swa.com Size: 2,700 ft 2 plus basement Year Completed: 2012 Climate Zone: Cold PERFORMANCE DATA Source Energy Savings: 30.9% HERS Index: 43 (20 with PV) Projected Annual Utility Costs: $2,508; $795 with PV Incremental Cost of

  5. Rocky Hill, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Rocky Hill, Connecticut: Energy Resources Jump to: navigation, search This article is a stub. You can help OpenEI by expanding it. Equivalent URI DBpedia Coordinates 41.6648216,...

  6. Preparations for Meeting New York and Connecticut MTBE Bans

    Reports and Publications (EIA)

    2003-01-01

    In response to a Congressional request, the Energy Information Administration examined the progress being made to meet the bans on the use of methyl tertiary butyl ether (MTBE) being implemented in New York and Connecticut at the end of 2003.

  7. Blue Hills, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Blue Hills is a census-designated place in Hartford County, Connecticut.1 References ...

  8. West Simsbury, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. West Simsbury is a census-designated place in Hartford County, Connecticut.1 References...

  9. Connecticut Natural Gas Number of Commercial Consumers (Number...

    U.S. Energy Information Administration (EIA) Indexed Site

    Commercial Consumers (Number of Elements) Connecticut Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  10. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  11. Connecticut Natural Gas Number of Residential Consumers (Number...

    U.S. Energy Information Administration (EIA) Indexed Site

    Residential Consumers (Number of Elements) Connecticut Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  12. Connecticut Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Connecticut Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  13. Connecticut Natural Gas Total Consumption (Million Cubic Feet...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Total Consumption (Million Cubic Feet) Connecticut Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  14. TransCanada Power Mktg Ltd (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Connecticut Phone Number: 1.800.661.3805 Website: www.transcanada.compowermarke Twitter: @TransCanada Outage Hotline: 1-800-447-8066 References: EIA Form EIA-861 Final Data...

  15. Connecticut Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Connecticut Regions National Science Bowl® (NSB) NSB Home About High School High School Students High School Coaches High School Regionals High School Rules, Forms, and Resources Middle School Attending National Event Volunteers 2015 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: Email Us High School Regionals Connecticut Regions Print Text

  16. Connecticut Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Connecticut Regions National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Attending National Event Volunteers 2015 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: Email Us Middle School Regionals Connecticut Regions

  17. DOE - Office of Legacy Management -- Olin Mathieson - CT 0-02

    Office of Legacy Management (LM)

    Olin Mathieson - CT 0-02 FUSRAP Considered Sites Site: OLIN MATHIESON (CT.0-02 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: United Nuclear Corporation CT.0-02-1 Location: New Haven , Connecticut CT.0-02-1 Evaluation Year: 1987 CT.0-02-1 Site Operations: Began fabrication of nuclear reactor fuel elements for AEC circa late-1950s. Later became part of a group forming United Nuclear Corp. and were then licensed by AEC. Performed work for U.S. Navy and

  18. California and Connecticut: National Fuel Cell Bus Programs Drive Fuel

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Economy Higher | Department of Energy Connecticut: National Fuel Cell Bus Programs Drive Fuel Economy Higher California and Connecticut: National Fuel Cell Bus Programs Drive Fuel Economy Higher August 21, 2013 - 12:00am Addthis In an EERE-supported study with the Federal Transit Administration, the National Renewable Energy Laboratory has found the fuel economy of fuel cell powered buses to be up to 2.4 times higher than conventional buses. During this study-€the National Fuel Cell Bus

  19. CT Clean Energy Communities

    Broader source: Energy.gov [DOE]

    The Clean Energy Communities program, offered by the Clean Energy Finance & Investment Authority and the Connecticut Energy Efficiency Fund, offers incentives for communities that pledge their...

  20. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Preliminary Evaluation Results

    Broader source: Energy.gov [DOE]

    This report provides preliminary results from the evaluation of a protoptye fuel cell transit bus operating at Connecticut Transit in Hartford. Included are descriptions of the planned fuel cell bus demonstration and equipment, early results and agency experience are also provided.

  1. Building America Case Study: Field Performance of Inverter-Driven Heat Pumps in Cold Climates - Connecticut, Massachusetts, and Vermont (Fact Sheet), Technology Solutions for New and Existing Homes, Energy Efficiency & Renewable Energy (EERE)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Performance of Inverter-Driven Heat Pumps in Cold Climates Connecticut, Massachusetts, and Vermont PROJECT INFORMATION Project Name: Field Performance of Inverter-Driven Heat Pumps in Cold Climates Location: CT, MA, and VT Partners: Efficiency Vermont, efficiencyvermont.com Consortium for Advanced Residential Buildings, carb-swa.com Building Component: Heating, ventilating, and air conditioning Application: New and retrofit; single- family and multifamily Year Tested: 2013-2014 Climate Zone(s):

  2. Building America Case Study: Singer Village: A Cold Climate Zero Energy Ready Home, Derby, Connecticut (Fact Sheet), Whole-House Solutions for Existing Homes, Energy Efficiency & Renewable Energy (EERE)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Singer Village: A Cold Climate Zero Energy Ready Home Derby, Connecticut PROJECT INFORMATION Project Name: Singer Village Home Location: Derby, CT Partners: Brookside Development, LLC. brooksidedevelopment.com Consortium for Advanced Residential Buildings, carb-swa.com Size: 4,456 ft 2 including basement Year Completed: 2014 Climate Zone: Cold PERFORMANCE DATA Source energy savings: 29.6% HERS index: 45 Projected annual utility costs: $2,443 Incremental cost of energy efficiency measures: 5.5%

  3. QER Public Meeting in Providence, RI & Hartford, CT: New England Regional

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Infrastructure Constraints | Department of Energy Providence, RI & Hartford, CT: New England Regional Infrastructure Constraints QER Public Meeting in Providence, RI & Hartford, CT: New England Regional Infrastructure Constraints Meeting Date and Location: April 21, 2014 9:00A.M.. to 1:00 P.M. EST (Providence, RI) - 1:00 P.M. EST to 5:00 P.M. EST (Hartford, CT) Providence: Rhode Island Convention Center, 1 Sabin St., Ballroom B, Providence, RI Hartford: Connecticut Department of

  4. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Second Evaluation Report and Appendices

    Broader source: Energy.gov [DOE]

    This report describes operations at Connecticut Transit (CTTRANSIT) in Hartford for one prototype fuel cell bus and three new diesel buses operating from the same location.

  5. Connecticut Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Connecticut Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -820 701 -1,356 -385 544 -187 198 121 75 -604 1990's 822 -103 -355 -29 -61 -373 680 94 66 -66 2000's -471 -169 182 140 -91 -240 -286 102 207 164 2010's 178 129 260 -68 -327 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  6. Connecticut Natural Gas Underground Storage Injections All Operators

    U.S. Energy Information Administration (EIA) Indexed Site

    (Million Cubic Feet) Underground Storage Injections All Operators (Million Cubic Feet) Connecticut Natural Gas Underground Storage Injections All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 683 740 746 1990's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Injections of

  7. Connecticut Natural Gas Underground Storage Net Withdrawals All Operators

    U.S. Energy Information Administration (EIA) Indexed Site

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Connecticut Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -242 501 1,271 1990's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of

  8. Connecticut Natural Gas Underground Storage Withdrawals (Million Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) Withdrawals (Million Cubic Feet) Connecticut Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 441 1,241 2,017 1990's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Withdrawals of Natural Gas from Underground Storage - All Operators

  9. Connecticut Natural Gas Delivered to Commercial Consumers for the Account

    Gasoline and Diesel Fuel Update (EIA)

    of Others (Million Cubic Feet) Delivered to Commercial Consumers for the Account of Others (Million Cubic Feet) Connecticut Natural Gas Delivered to Commercial Consumers for the Account of Others (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 533 513 2,680 1990's 1,169 1,887 1,037 602 7,455 6,836 5,193 7,709 13,270 17,692 2000's 10,509 9,953 11,188 12,350 11,013 10,606 9,458 10,252 11,032 12,324 2010's 14,068 15,519 14,774 19,561

  10. U.S. hydropower resource assessment for Connecticut

    SciTech Connect (OSTI)

    Francfort, J.E.; Rinehart, B.N.

    1995-07-01

    The Department of Energy is developing an estimate of the undeveloped hydro-power potential in the United States. The Hydropower Evaluation Software (HES) is a computer model that was developed by the Idaho National Engineering Laboratory for this purpose. The software measures the undeveloped hydropower resources available in the United States, using uniform criteria for measurement. The software was developed and tested using hydropower information and data provided by the Southwestern Power Administration. It is a menu-driven software program that allows the personal computer user to assign environmental attributes to potential hydropower sites, calculate development suitability factors for each site based on the environmental attributes present, and generate reports based on these suitability factors. This report details the resource assessment results for the State of Connecticut.

  11. Connecticut Natural Gas LNG Storage Additions (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    Additions (Million Cubic Feet) Connecticut Natural Gas LNG Storage Additions (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,336 2,160 1,766 980 1,673 1,466 1,035 1,281 1,229 1,115 1990's 1,696 1,010 359 610 1,435 736 2,265 832 447 334 2000's 707 245 438 468 1,299 1,383 532 587 1,008 713 2010's 651 655 743 558 1,032 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  12. Connecticut Natural Gas LNG Storage Withdrawals (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    Withdrawals (Million Cubic Feet) Connecticut Natural Gas LNG Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,156 1,459 3,122 1,365 1,129 1,653 837 1,160 1,154 1,720 1990's 874 1,112 714 640 1,497 1,109 1,585 737 381 400 2000's 1,178 414 256 608 1,208 1,143 246 485 802 549 2010's 473 526 484 626 1,359 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  13. Connecticut Natural Gas Number of Industrial Consumers (Number of Elements)

    U.S. Energy Information Administration (EIA) Indexed Site

    Industrial Consumers (Number of Elements) Connecticut Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2 2,709 2,818 2,908 1990's 3,061 2,921 2,923 2,952 3,754 3,705 3,435 3,459 3,441 3,465 2000's 3,683 3,881 3,716 3,625 3,470 3,437 3,393 3,317 3,196 3,138 2010's 3,063 3,062 3,148 4,454 4,217 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  14. Connecticut Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    (Million Cubic Feet) Connecticut Natural Gas Pipeline and Distribution Use (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,492 833 2,943 2000's 3,020 2,948 2,515 3,382 3,383 3,327 3,178 4,361 4,225 5,831 2010's 6,739 6,302 4,747 4,381 4,698 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  15. Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.45 8.97 7.74 6.08 6.66 5.68 5.21 5.11 2000's 7.51 8.84 8.84 10.72 12.65 14.60 18.39 20.57 24.04 15.26 2010's 16.31 18.59 13.70 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  16. Cost Effectiveness of ASHRAE Standard 90.1-2010 for the State of Connecticut

    SciTech Connect (OSTI)

    Hart, Philip R.; Rosenberg, Michael I.; Xie, YuLong; Zhang, Jian; Richman, Eric E.; Elliott, Douglas B.; Loper, Susan A.; Myer, Michael

    2013-11-29

    Moving to the ANSI/ASHRAE/IES Standard 90.1-2010 version from the Base Code (90.1-2007) is cost-effective for all building types and climate zones in teh State of Connecticut.

  17. State of Connecticut Summary of Reported Data From July 1, 2010 - September 30, 2013

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Connecticut Summary o f Reported Data From July 1, 2 010 - September 3 0, 2013 Better B uildings Neighborhood Program Report Produced By: U.S. Department of Energy June 2014 STATE OF CONNECTICUT SUMMARY OF REPORTED DATA ACKNOWLEDGMENTS This document presents a summary of data reported by an organization awarded federal financial assistance (e.g., grants or cooperative agreements) through the U.S. Department of Energy's ( DOE's) Better Buildings Neighborhood Program (BBNP) from July 2010 or

  18. EERE Success Story-California and Connecticut: National Fuel Cell Bus

    Office of Environmental Management (EM)

    Programs Drive Fuel Economy Higher | Department of Energy California and Connecticut: National Fuel Cell Bus Programs Drive Fuel Economy Higher EERE Success Story-California and Connecticut: National Fuel Cell Bus Programs Drive Fuel Economy Higher August 21, 2013 - 12:00am Addthis In an EERE-supported study with the Federal Transit Administration, the National Renewable Energy Laboratory has found the fuel economy of fuel cell powered buses to be up to 2.4 times higher than conventional

  19. Connecticut State University System Initiative for Nanotechnology-Related Equipment, Faculty Development and Curriculum Development

    SciTech Connect (OSTI)

    Broadbridge, Christine C.

    2013-03-28

    DOE grant used for partial fulfillment of necessary laboratory equipment for course enrichment and new graduate programs in nanotechnology at the four institutions of the Connecticut State University System (CSUS). Equipment in this initial phase included variable pressure scanning electron microscope with energy dispersive x-ray spectroscopy elemental analysis capability [at Southern Connecticut State University]; power x-ray diffractometer [at Central Connecticut State University]; a spectrophotometer and spectrofluorimeter [at Eastern Connecticut State University; and a Raman Spectrometer [at Western Connecticut State University]. DOE's funding was allocated for purchase and installation of this scientific equipment and instrumentation. Subsequently, DOE funding was allocated to fund the curriculum, faculty development and travel necessary to continue development and implementation of the System's Graduate Certificate in Nanotechnology (GCNT) program and the ConnSCU Nanotechnology Center (ConnSCU-NC) at Southern Connecticut State University. All of the established outcomes have been successfully achieved. The courses and structure of the GCNT program have been determined and the program will be completely implemented in the fall of 2013. The instrumentation has been purchased, installed and has been utilized at each campus for the implementation of the nanotechnology courses, CSUS GCNT and the ConnSCU-NC. Additional outcomes for this grant include curriculum development for non-majors as well as faculty and student research.

  20. Steven Winters Associates Inc (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    NY NJ CT PA Area Sector: Buildings Product: Research, design and consulting for high performance buildings Website: www.swinter.com Coordinates: 41.100098, -73.420395 Show Map...

  1. Connecticut Natural Gas Deliveries to Electric Power Consumers (Million

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cubic Feet) Deliveries to Electric Power Consumers (Million Cubic Feet) Connecticut Natural Gas Deliveries to Electric Power Consumers (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 1,038 1,552 2,452 614 1,179 1,891 2,476 4,089 5,913 4,880 2,279 3,798 2002 4,423 3,978 4,703 3,922 5,828 5,560 7,982 8,302 7,282 4,687 4,165 4,227 2003 2,459 2,060 4,165 3,486 3,226 2,869 3,891 4,415 4,211 3,757 4,363 3,666 2004 2,696 3,977 3,888 4,214 5,821 5,783 6,418 6,918 6,399

  2. Connecticut Natural Gas Industrial Consumption (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Industrial Consumption (Million Cubic Feet) Connecticut Natural Gas Industrial Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 2,225 2,099 2,243 2,115 2,331 2,168 2,517 1,977 1,952 2,104 2,118 1,773 2002 2,982 2,873 2,953 2,080 2,249 2,098 2,273 1,936 2,029 2,388 2,516 2,673 2003 2,442 2,098 2,170 2,119 1,737 1,511 1,686 1,897 1,715 2,072 1,813 2,294 2004 2,264 2,166 2,044 1,742 1,431 1,342 1,330 1,300 1,519 1,483 2,003 1,906 2005 2,172 2,173 2,136

  3. Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Price (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 10.11 11.82 8.37 8.23 7.19 6.24 3.13 4.62 5.22 4.61 5.15 5.92 2002 5.31 4.97 4.95 4.15 4.88 4.74 4.08 4.10 4.89 4.87 5.56 6.09 2003 7.67 8.43 9.08 8.54 7.03 7.61 7.10 6.50 6.83 6.61 6.56 7.52 2004 12.70 9.38 9.03 8.09 8.00 8.28 7.80 7.86 7.77 7.85 11.27 11.09 2005 9.85 10.02 10.36 10.81 9.51 8.73 9.55 10.51 13.43 17.16 16.27

  4. Connecticut Natural Gas Residential Consumption (Million Cubic Feet)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Residential Consumption (Million Cubic Feet) Connecticut Natural Gas Residential Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 6,412 5,891 5,717 3,694 2,231 1,296 1,114 996 1,138 1,986 3,221 6,991 1990 6,690 5,673 5,000 3,708 2,203 1,345 1,100 931 1,119 1,660 3,201 4,817 1991 6,359 5,707 5,011 3,432 1,976 1,173 915 938 1,086 1,943 3,433 5,209 1992 6,675 6,571 5,777 4,284 2,417 1,394 1,125 996 1,155 2,271 3,876 5,855 1993 6,726 7,402 6,255 4,043 1,947

  5. Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per

    U.S. Energy Information Administration (EIA) Indexed Site

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.35 0.68 0.30 1970's 0.32 0.32 0.35 0.40 0.50 0.58 0.59 1.50 2.60 2.53 1980's 2.76 2.94 3.53 3.30 3.18 3.71 2.53 2.52 2.13 2.97 1990's 3.68 3.08 2.95 3.53 2.62 2.20 3.50 1.54 3.00 0.59 2000's 4.82 4.93 NA -- -- -- - = No Data Reported; -- = Not Applicable;

  6. ASME XI stroke time testing of solenoid valves at Connecticut Yankee Station

    SciTech Connect (OSTI)

    Martin, C.W.

    1996-12-01

    Connecticut Yankee Atomic Power Company has developed the capability of measuring the stroke times of AC and DC solenoid valves. This allows the station to measure the stroke time of any solenoid valve in the plant, even those valves which do not have valve stem position indicators. Connecticut Yankee has adapted the ITI MOVATS Checkmate 3 system, using a signal input from a Bruel and Kjaer (B&K) Model 4382 acoustic accelerometer and the Schaumberg Campbell Associates (SCA) Model SCA-1148 dual sensor, which is a combined accelerometer and gaussmeter.

  7. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Second Evaluation Report and Appendices

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2009-05-01

    This report describes operations at Connecticut Transit (CTTRANSIT) in Hartford for one prototype fuel cell bus and three new diesel buses operating from the same location. The evaluation period in this report (January 2008 through February 2009) has been chosen to coincide with a UTC Power propulsion system changeout that occurred on January 15, 2008.

  8. NETL CT Imaging Facility

    SciTech Connect (OSTI)

    2013-09-04

    NETL's CT Scanner laboratory is equipped with three CT scanners and a mobile core logging unit that work together to provide characteristic geologic and geophysical information at different scales, non-destructively.

  9. NETL CT Imaging Facility

    ScienceCinema (OSTI)

    None

    2014-05-21

    NETL's CT Scanner laboratory is equipped with three CT scanners and a mobile core logging unit that work together to provide characteristic geologic and geophysical information at different scales, non-destructively.

  10. DOE Zero Energy Ready Home Case Study: Shore Road Project- Old Greenwich, Connecticut

    Broader source: Energy.gov [DOE]

    This case study describes the builder Murphy Brothers' first DOE Zero Energy Ready Home in Old Greenwich, CT.

  11. CT Solar Loan

    Broader source: Energy.gov [DOE]

    The Clean Energy Finance and Investment Authority is offering a pilot loan program, CT Solar Loan, to provide homeowners with 15-year loans for solar PV equipment. The loans are administered...

  12. CT Solar Lease

    Broader source: Energy.gov [DOE]

    CT Solar Lease allows homeowners to lease a photovoltaic (PV) or solar thermal system, with fixed monthly payments, for a term of 20 years, at no upfront down payment.* This program, which takes...

  13. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Third Evaluation Report and Appendices

    Broader source: Energy.gov [DOE]

    This report describes operations at Connecticut Transit (CTTRANSIT) in Hartford for one prototype fuel cell bus and three new diesel buses operating from the same location. The prototype fuel cell bus was manufactured by Van Hool and ISE Corp. and features an electric hybrid drive system with a UTC Power PureMotion 120 Fuel Cell Power System and ZEBRA batteries for energy storage. The fuel cell bus started operation in April 2007, and evaluation results through October 2009 are provided in this report.

  14. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Third Evaluation Report and Appendices

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2010-01-01

    This report describes operations at Connecticut Transit (CTTRANSIT) in Hartford for one prototype fuel cell bus and three new diesel buses operating from the same location. The prototype fuel cell bus was manufactured by Van Hool and ISE Corp. and features an electric hybrid drive system with a UTC Power PureMotion 120 Fuel Cell Power System and ZEBRA batteries for energy storage. The fuel cell bus started operation in April 2007, and evaluation results through October 2009 are provided in this report.

  15. ,"Connecticut Heat Content of Natural Gas Consumed"

    U.S. Energy Information Administration (EIA) Indexed Site

    Consumed" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Heat Content of Natural Gas Consumed",1,"Monthly","12/2015","01/15/2013" ,"Release Date:","02/29/2016" ,"Next Release Date:","03/31/2016" ,"Excel File

  16. ,"Connecticut Natural Gas Consumption by End Use"

    U.S. Energy Information Administration (EIA) Indexed Site

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  17. ,"Connecticut Natural Gas LNG Storage Net Withdrawals (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  18. ,"Connecticut Natural Gas Vehicle Fuel Consumption (MMcf)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  19. Best Practices Case Study: Nelson Construction, Hamilton Way, Farmingon, CT

    SciTech Connect (OSTI)

    2011-01-03

    Building America's research team lead Building Science Corporation helped Nelson Construction achieve HERS scores of 53 and 54 on ten homes in Farmington, Connecticut.

  20. Connecticut Heat Content of Natural Gas Deliveries to Consumers (BTU per

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cubic Foot) Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Connecticut Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,018 1,025 1,011 1,022 1,028 1,024 1,032 1,028 1,030 1,030 1,026 1,024 2014 1,015 1,015 1,016 1,019 1,020 1,022 1,022 1,023 1,021 1,020 1,018 1,017 2015 1,017 1,026 1,029 1,026 1,049 1,027 1,027 1,026 1,026 1,028 1,027 1,026 - = No Data Reported; -- = Not Applicable;

  1. FORMERLY UTILIZED SITES REMEDIAL ACTION PROGRAM ELIMINATION REPORT

    Office of Legacy Management (LM)

    I c. ,..I -. i FORMERLY UTILIZED SITES REMEDIAL ACTION PROGRAM ELIMINATION REPORT FOR BRIDGEPORT BRASS COMPANY HAVENS LABORATORY (REACTIVE METALS, INC.) KOSSUTH AND PULASKI STREETS BRIDGEPORT, CONNECTICUT i Department of Energy Office of Nuclear Energy Office of Remedial Action and Waste Technology Division of Facility and Site Decomnissioning Projects CONTENTS INTRODUCTION BACKGROUND Site Function Site Description Radiological History and Status ELIMINATION ANALYSIS REFERENCES Page 1 . 2 ii

  2. CONFIRMATORY SURVEY RESULTS FOR PORTIONS OF THE ABB COMBUSTION ENGINEERING SITE IN WINDSOR, CONNECTICUT DURING THE FALL OF 2011

    SciTech Connect (OSTI)

    Wade C. Adams

    2011-12-09

    From the mid-1950s until mid-2000, the Combustion Engineering, Inc. (CE) site in Windsor, Connecticut (Figure A-1) was involved in the research, development, engineering, production, and servicing of nuclear fuels, systems, and services. The site is currently undergoing decommissioning that will lead to license termination and unrestricted release in accordance with the requirements of the License Termination Rule in 10 CFR Part 20, Subpart E. Asea Brown Boveri Incorporated (ABB) has been decommissioning the CE site since 2001.

  3. CT Offshore | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: CT Offshore Place: Otterup, Denmark Zip: 5450 Sector: Wind energy Product: Denmark-based consultancy which provides assistance for project...

  4. Performance House: A Cold Climate Challenge Home, Old Greenwich, Connecticut (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-11-01

    By working with builder partners on test homes, researchers from the U.S. Department of Energy's Building America program can vet whole-house building strategies and avoid potential unintended consequences of implementing untested solution packages on a production scale. To support this research, Building America team Consortium for Advanced Residential Buildings (CARB) partnered with Preferred Builders Inc. on a high-performance test home in Old Greenwich, Connecticut. The philosophy and science behind the 2,700 ft2 "Performance House" was based on the premise that homes should be safe, healthy, comfortable, durable, efficient, and adaptable to the needs of homeowners. The technologies and strategies used in the "Performance House" were best practices rather than cutting edge, with a focus on simplicity in construction, maintenance, and operation. Achieving 30% source energy savings compared with a home built to the 2009 International Energy Conservation Code in the cold climate zone requires that nearly all components and systems be optimized. Careful planning and design are critical. The end result was a DOE Challenge Home that achieved a Home Energy Rating System (HERS) Index Score of 20 (43 without photovoltaics [PV]).

  5. Connecticut Natural Gas Price Sold to Electric Power Consumers (Dollars per

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Thousand Cubic Feet) Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 2.89 2.75 3.66 4.17 4.05 4.07 3.71 3.59 4.02 4.49 W W 2003 W W 9.01 6.12 W W W W W W 5.21 W 2004 W W W W 6.80 6.82 6.51 6.37 5.72 W W W 2005 W 7.08 7.91 7.77 6.95 7.66 8.17 9.89 W 13.87 10.21 13.64 2006 9.41 8.68 7.72 7.71 6.84 6.94 7.02 7.97 5.56

  6. Evidence for old crust in the provenance of the Trap Falls Formation, southwestern Connecticut

    SciTech Connect (OSTI)

    McDaniel, D.K.; Sevigny, J.H.; Bock, B.; Hanson, G.N.; McLennan, S.M. . Dept. of Earth and Space Sciences)

    1993-03-01

    The Trap Fall Formation is a multiply deformed, amphibolite facies metasedimentary sequence in southwestern Connecticut. It contains interlayered pelitic schists and lesser quartzites, and may represent turbidites. The major element compositions of 3 schists are compatible with a shale protolith. Their aluminous nature (CIA = 68--70) suggests a weathering history in the source, but may in part be a result of metamorphic processes. High SiO[sub 2] (85--91%) and Zr (305--370 ppm) concentrations in the quartzites are consistent with a significant component of recycled sediment in the source. A single abraded detrital zircon from a quartzite gives a concordant U-Pb age of 1,009 [plus minus] 6 Ma and suggests a source in Grenville-aged crust. E[sub Nd] at 450 Ma of [minus] 9.2 for one schist sample is also consistent with older crust. REE patterns for 2 pelitic schists and a quartzite (Fig.) are parallel to PAAS (post-Archean average shale). Thus the authors suggest that recycled sediment derived from older cratonic sources dominates the source for the Trap Falls Formation. Models for the tectonic setting of deposition should be consistent with these observations.

  7. CT NC0

    Office of Legacy Management (LM)

    x-L* d! CT NC0 - i , ,. i, .' i :.:(e.!' ,A\~, L.,t, - (iI :i' , . y- 2 .L i ._ 1 c\ :- i;! Ii $ 4. Ci:lc:i.nnati. 39, t>:::i.f> (J&l3 q-1 -3 sui3 Jrn T3 FRCM .I iirz 1 ?j ~ 1.3 bL1 T:' IP !REFOI?T TC 5YC?CZCiC~ :EWllIFl;j",tsSS L' I"JIsIc:;. .:;xli3;. iCAN !fA(=;-fL,yg-j L' sc,, E. $.iCLX:i?, -iIJ,x:q()Is. ON hL4X 24 - 25 ) 1.9tic ;i. A. Quiglel;, A.3, 3, M. ChenauEt gpxrIvB OF TP.~ The purpose of t3is trip was tc observe a proposed method for the dchy- dratim of green salt

  8. Siemens Corporate Technology CT | Open Energy Information

    Open Energy Info (EERE)

    Corporate Technology CT Jump to: navigation, search Name: Siemens Corporate Technology (CT) Place: Erlangan, Germany Sector: Solar Product: R&D lab for Siemens AG. Currently...

  9. UNITED STATES ENERGY RESEARCH AND DEVELOPMENT ADMINISTRATION

    Office of Legacy Management (LM)

    AREA CODE 615 TELEPHONE 483-8611 March 8, 1977 Assistant Director for Health Protection, DSSC-HQ ATTN: R. H. Kennedy, DSSC-HQ ERDA RESURVEY PROGRAM - BRIDGEPORT BRASS COMPANY, SEYMOUR, CONNECTICUT On January 26, 1977, H. W. Dickson and M. T. Ryan of ORNL and I visited the Bridgeport Brass Plant in Seymour, Connecticut, to reassess the radiological status of facilities used under AEC contract during the period 1962-64. On October 21, 1964, a closeout radiological survey of the subject facility

  10. ,"Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","n3035ct3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ct3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"2/26/2016 2:23:46 PM" "Back to

  11. DOE Zero Energy Ready Home Case Study: Shore Road Project - Old Greenwich, Connecticut

    SciTech Connect (OSTI)

    none,

    2014-11-01

    This case study describes a DOE Zero Energy Ready Home in Old Greenwich, CT, that scored HERS 40 without PV and HERS 27 with PV. This 4,100 ft2 custom home has 13-inch ICF basement walls and 11-inch ICF above-grade walls with a closed-cell spray foam-insulated roof deck, and a continuously running ERV. The house has a dual-fuel heat pump, an instantaneous condensing water heater, and 4.5-kW solar shingles.

  12. National incinerator testing and evaluation program: The environmental characterization of refuse-derived fuel (RDF) Combustion Technology, Mid-Connecticut Facility, Hartford, Connecticut. Final report, June 1987-March 1993

    SciTech Connect (OSTI)

    Finklestein, A.; Klicius, R.D.

    1994-12-01

    The report gives results of an environmental characterization of refuse-derived (RDF) semi-suspension burning technology at a facility in Hartford, Connecticut, that represents state-of-the-art technology, including a spray dryer/fabric filter flue-gas cleaning (FGC) system for each unit. Results were obtained for a variety of steam production rates, combustion conditions, flue gas temperatures, and acid gas removal efficiencies. All incoming wastes and residue streams were weighed, sampled, and analyzed. Key combustor and FGC system operating variables were monitored on a real time basis. A wide range of analyses for acid gases, trace organics, and heavy metals was carried out on gas emissions and all ash residue discharges.

  13. CT Investment Partners LLP | Open Energy Information

    Open Energy Info (EERE)

    CT Investment Partners LLP Jump to: navigation, search Name: CT Investment Partners LLP Place: London, United Kingdom Zip: WC2A 2AZ Sector: Carbon Product: Venture capital arm of...

  14. New Whole-House Solutions Case Study: Singer Village - A Cold Climate Zero Energy Ready Home, Derby, Connecticut

    SciTech Connect (OSTI)

    2015-03-01

    After progressively incorporating ENERGY STAR for Homes Versions 1, 2, and 3 into its standard practices over the years, builder Brookside Development was seeking to build an even more sustainable product that would further increase energy efficiency, while also addressing indoor air quality, water conservation, renewable-ready, and resiliency. These objectives align with the framework of the U.S. Department of Energy Zero Energy Ready Home program, which builds upon the comprehensive building science requirements of ENERGY STAR for Homes Version 3 and proven Building America innovations and best practices. To meet this goal, Consortium for Advanced Residential Buildings partnered with Brookside Development to design and construct the first zero energy ready home in a development of seven new homes on the old Singer Estate in Derby, Connecticut.

  15. Bridgeport, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.1553457, -75.9693622 Show Map Loading map... "minzoom":false,"mappingservice":"googlemaps3","type"...

  16. City of Bridgeport Utilities, Nebraska | Open Energy Information

    Open Energy Info (EERE)

    Power Place: Nebraska Phone Number: (308) 262-1623 Website: www.cityofbport.comindex.php? Twitter: @cityofbport Outage Hotline: (308) 262-1623 References: EIA Form EIA-861...

  17. Dual energy CT for attenuation correction with PET/CT

    SciTech Connect (OSTI)

    Xia, Ting; Alessio, Adam M.; Kinahan, Paul E.

    2014-01-15

    Purpose: The authors evaluate the energy dependent noise and bias properties of monoenergetic images synthesized from dual-energy CT (DECT) acquisitions. These monoenergetic images can be used to estimate attenuation coefficients at energies suitable for positron emission tomography (PET) and single-photon emission computed tomography (SPECT) imaging. This is becoming more relevant with the increased use of quantitative imaging by PET/CT and SPECT/CT scanners. There are, however, potential variations in the noise and bias of synthesized monoenergetic images as a function of energy. Methods: The authors used analytic approximations and simulations to estimate the noise and bias of synthesized monoenergetic images of water-filled cylinders with different shapes and the NURBS-based cardiac-torso (NCAT) phantom from 40 to 520 keV, the range of SPECT and PET energies. The dual-kVp spectra were based on the GE Lightspeed VCT scanner at 80 and 140 kVp with added filtration of 0.5 mm Cu. The authors evaluated strategies of noise suppression with sinogram smoothing and dose minimization with reduction of tube currents at the two kVp settings. The authors compared the impact of DECT-based attenuation correction with single-kVp CT-based attenuation correction on PET quantitation for the NCAT phantom for soft tissue and high-Z materials of bone and iodine contrast enhancement. Results: Both analytic calculations and simulations displayed the expected minimum noise value for a synthesized monoenergetic image at an energy between the mean energies of the two spectra. In addition the authors found that the normalized coefficient of variation in the synthesized attenuation map increased with energy but reached a plateau near 160 keV, and then remained constant with increasing energy up to 511 keV and beyond. The bias was minimal, as the linear attenuation coefficients of the synthesized monoenergetic images were within 2.4% of the known true values across the entire energy range. Compared with no sinogram smoothing, sinogram smoothing can dramatically reduce noise in the DECT-derived attenuation map. Through appropriate selection of tube currents for high and low kVp scans, DECT can deliver roughly the same amount of radiation dose as that of a single kVp CT scan, but could be used for PET attenuation correction with reduced bias in contrast agent regions by a factor of ?2.6 and slightly reduced RMSE for the total image. Conclusions: When DECT is used for attenuation correction at higher energies, there is a noise amplification that is dependent on the energy of the synthesized monoenergetic image of linear attenuation coefficients. Sinogram smoothing reduces the noise amplification in DECT-derived attenuation maps without increasing bias. With an appropriate selection of CT techniques, a DECT scan with the same radiation dose as a single CT scan can result in a PET image with improved quantitative accuracy.

  18. New Whole-House Solutions Case Study: The Performance House: A Cold Climate Challenge Home, Old Greenwich, Connecticut

    SciTech Connect (OSTI)

    2013-11-01

    By working with builder partners on test homes, researchers from the U.S. Department of Energys Building America program can vet whole-house building strategies and avoid potential unintended consequences of implementing untested solution packages on a production scale. To support this research, Building America team Consortium for Advanced Residential Buildings (CARB) partnered with Preferred Builders Inc. on a high-performance test home in Old Greenwich, Connecticut. The philosophy and science behind the 2,700 ft2 Performance House was based on the premise that homes should be safe, healthy, comfortable, durable, efficient, and adaptable to the needs of homeowners. The technologies and strategies used in the Performance House were best practices rather than cutting edge, with a focus on simplicity in construction, maintenance, and operation. Achieving 30% source energy savings compared with a home built to the 2009 International Energy Conservation Code in the cold climate zone requires that nearly all components and systems be optimized. Careful planning and design are critical. The end result was a DOE Challenge Home that achieved a Home Energy Rating System (HERS) Index Score of 20 (43 without photovoltaics [PV]).

  19. F&t++q/

    Office of Legacy Management (LM)

    26 - %I - 2027 ' 444 326 gs-01 F&t++q/ g% tfi3 8 -r,. SJL b-b < I T&e Rcdur;~ J co. - dcrb& $+:-Aic C:. BRIDGEPORT BRASS COMPANY d d - c+h+4 3.u.. .L -& BRIDGEPORT, CONNECTICUT P-A-C,, cclwu 4 CAcq RESEARCH DEPARTMENT SPECIAL RER.EVTE~ FINAL l3ETERMiNATION. ,,. . .*. " , //!!.-.-.. 2 /- e$ . . ' . L' -_ rp- ' 24. *a .*+-sy&y- -- ->.. I1 &e *..* MAi? 29 1954 m.. maEQ---~zAm y* " -- ' r--*r *?: -. - -.. ---em mco - 33 m-27 . ' . . . . . . , -a. _-* MCNTHLY

  20. ORNL/RASA-85/4

    Office of Legacy Management (LM)

    5/4 c Health and Safety Research Division FOLLOW-UP SURVEY OF BRIDGEPORT BRASS COMPANY SEYMOUR, CONNE(XIC!UT May 1985 Work performed as part of the RADIOLOGICAL SURVEY ACTIVITIES PROGRAM OAK RIDGE NATIONAL LABORATORY Oak Ridge, Tennessee 37831 operated by MARTIN MARIETTA ENERGY SYSTEMS, INC. for the U.S. DEPARTMENT OF ENERGY under Contract No. DE-AC05-840R21400 ORNL/RASA-85/4 Health and Safety Research Division FOLLOW-UP SURVEY OF BRIDGEPORT BRASS COMPANY SEYMOUR, CONNECTICUT W. D. Cottrell

  1. NETL F 451.1/1-1, Categorical Exclusion Designation Form

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DE-FE0026093 Fuel Cell Energy Danbury, CT Sonata - Bethel, CT; University of Connecticut - Storrs, CT; Versa - Littleton, CO and Calgary, Alberta, Canada FESCCAESD Joseph M...

  2. ,"Connecticut Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Annual",2015 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","n3045ct3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045ct3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"2/26/2016 2:25:08 PM" "Back to

  3. Connecticut Natural Gas Summary

    Gasoline and Diesel Fuel Update (EIA)

    67-2005 Citygate 6.58 5.92 5.12 5.42 5.61 4.07 1984-2015 Residential 14.93 13.83 14.17 13.32 14.13 NA 1967-2015 Commercial 9.55 8.48 8.40 9.20 10.24 NA 1967-2015 Industrial 9.60 9.16 8.83 6.85 8.07 6.37 1997-2015 Vehicle Fuel 16.31 18.59 13.70 1992-2012 Electric Power 5.70 5.09 3.99 6.23 6.82 4.73 1997-2015 Underground Storage (Million Cubic Feet) Injections 1973-1996 Withdrawals 1973-1996 Net Withdrawals 1973-1996 Liquefied Natural Gas Storage (Million Cubic Feet) Additions 651 655 743 558

  4. Connecticut Natural Gas Summary

    U.S. Energy Information Administration (EIA) Indexed Site

    4.58 4.45 4.59 3.58 3.36 3.80 1989-2015 Residential 18.22 19.33 NA 15.30 12.50 11.82 1989-2015 Commercial 9.29 9.52 NA 9.53 8.48 8.18 1989-2015 Industrial 5.88 5.66 6.59 5.76 5.87 6.60 2001-2015 Electric Power 2.48 2.69 3.08 3.17 5.14 5.06 2002-2015 Consumption (Million Cubic Feet) Delivered to Consumers 16,880 17,528 15,795 17,525 19,928 23,268 2001-2015 Residential 1,120 997 975 2,158 3,952 4,884 1989-2015 Commercial 2,379 2,512 2,577 3,155 4,122 5,038 1989-2015 Industrial 1,758 1,826 1,734

  5. ,"Connecticut Natural Gas Prices"

    U.S. Energy Information Administration (EIA) Indexed Site

    Date:","3312016" ,"Excel File Name:","ngprisumdcusctm.xls" ,"Available from Web Page:","http:www.eia.govdnavngngprisumdcusctm.htm" ,"Source:","Energy ...

  6. Connecticut Nuclear Profile - Millstone

    U.S. Energy Information Administration (EIA) Indexed Site

    Millstone" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 2,869,"7,415",97.4,"PWR","application/vnd.ms-excel","application/vnd.ms-excel" 3,"1,233","9,336",86.4,"PWR","application/vnd.ms-excel","application/vnd.ms-excel"

  7. Connecticut Natural Gas Prices

    Gasoline and Diesel Fuel Update (EIA)

    4.58 4.45 4.59 3.58 3.36 3.80 1989-2015 Residential Price 18.22 19.33 NA 15.30 12.50 11.82 1989-2015 Percentage of Total Residential Deliveries included in Prices 95.8 94.3 NA 94.6 95.9 96.4 2002-2015 Commercial Price 9.29 9.52 NA 9.53 8.48 8.18 1989-2015 Percentage of Total Commercial Deliveries included in Prices 71.9 67.6 NA 73.5 75.4 78.4 1989-2015 Industrial Price 5.88 5.66 6.59 5.76 5.87 6.60 2001-2015 Percentage of Total Industrial Deliveries included in Prices 43.9 45.3 44.5 47.8 49.8

  8. Connecticut Natural Gas Prices

    U.S. Energy Information Administration (EIA) Indexed Site

    67-2005 Citygate Price 6.81 6.58 5.92 5.12 5.42 5.61 1984-2014 Residential Price 14.81 14.93 13.83 14.17 13.32 14.13 1967-2014 Percentage of Total Residential Deliveries included...

  9. Implications of CT noise and artifacts for quantitative {sup 99m}Tc SPECT/CT imaging

    SciTech Connect (OSTI)

    Hulme, K. W.; Kappadath, S. C.

    2014-04-15

    Purpose: This paper evaluates the effects of computed tomography (CT) image noise and artifacts on quantitative single-photon emission computed-tomography (SPECT) imaging, with the aim of establishing an appropriate range of CT acquisition parameters for low-dose protocols with respect to accurate SPECT attenuation correction (AC). Methods: SPECT images of two geometric and one anthropomorphic phantom were reconstructed iteratively using CT scans acquired at a range of dose levels (CTDI{sub vol} = 0.4 to 46 mGy). Resultant SPECT image quality was evaluated by comparing mean signal, background noise, and artifacts to SPECT images reconstructed using the highest dose CT for AC. Noise injection was performed on linear-attenuation (?) maps to determine the CT noise threshold for accurate AC. Results: High levels of CT noise (? ? 200400 HU) resulted in low ?-maps noise (? ? 1%3%). Noise levels greater than ?10% in 140 keV ?-maps were required to produce visibly perceptible increases of ?15% in {sup 99m}Tc SPECT images. These noise levels would be achieved at low CT dose levels (CTDI{sub vol} = 4 ?Gy) that are over 2 orders of magnitude lower than the minimum dose for diagnostic CT scanners. CT noise could also lower (bias) the expected ? values. The relative error in reconstructed SPECT signal trended linearly with the relative shift in ?. SPECT signal was, on average, underestimated in regions corresponding with beam-hardening artifacts in CT images. Any process that has the potential to change the CT number of a region by ?100 HU (e.g., misregistration between CT images and SPECT images due to motion, the presence of contrast in CT images) could introduce errors in ?{sub 140} {sub keV} on the order of 10%, that in turn, could introduce errors on the order of ?10% into the reconstructed {sup 99m}Tc SPECT image. Conclusions: The impact of CT noise on SPECT noise was demonstrated to be negligible for clinically achievable CT parameters. Because CT dose levels that affect SPECT quantification is low (CTDI{sub vol} ? 4 ?Gy), the low dose limit for the CT exam as part of SPECT/CT will be guided by CT image quality requirements for anatomical localization and artifact reduction. A CT technique with higher kVp in combination with lower mAs is recommended when low-dose CT images are used for AC to minimize beam-hardening artifacts.

  10. Mr. James A. Connelly

    Office of Legacy Management (LM)

    c-i-, 6 ,-I-. , ." $4 Department of Energy Washington, DC 20545 OCT 13 1987 Mr. James A. Connelly Superintendent of Schools 45 Lion Terrace Room 303, City Hall Bridgeport, Connecticut 06604 Dear Mr. Connelly: As you may know, the Department of Energy (DOE) is evaluating the radiological condition of sites that were utilized under the Manhattan Engineer District and the Atomic Energy Commission (AEC) during the early years of nuclear development to determine whether they need remedial action

  11. Building America Case Study: Retrofitting a 1960s Split-Level, Cold-Climate Home, Westport, Connecticut (Fact Sheet), Whole-House Solutions for Existing Homes, Energy Efficiency & Renewable Energy (EERE)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Retrofitting a 1960s Split-Level Cold-Climate Home Westport, Connecticut PROJECT INFORMATION Construction: Existing home Type: Single-family, split-level Partners: General Contractor: Preferred Builders, preferredbuilders.biz Consortium for Advanced Residential Buildings, carb-swa.com Size: 1,712 ft 2 Date Completed: 1960 Climate Zone: Cold (5A) PERFORMANCE DATA HERS Index: Pre-retrofit = 114 Post-retrofit: * With PV = 26 * Without PV = 56 Validated annual energy cost savings: * With PV = $4,032

  12. Connecticut Department of Energy and Environmental Protection  Energy Efficiency and Conservation Block Grant Program Funds Provided by the American Recovery and Reinvestment Act of 2009, OAS-RA-13-14

    Office of Environmental Management (EM)

    Connecticut Department of Energy and Environmental Protection  Energy Efficiency and Conservation Block Grant Program Funds Provided by the American Recovery and Reinvestment Act of 2009 OAS-RA-13-14 February 2013 Department of Energy Washington, DC 20585 February 28, 2013 MEMORANDUM FOR THE ASSISTANT SECRETARY FOR ENERGY EFFICIENCY AND RENEWABLE ENERGY FROM: Rickey R. Hass Deputy Inspector General for Audits and Inspections Office of Inspector General SUBJECT: INFORMATION: Examination Report

  13. Agenda: New England Regional Infrastructure Constraints | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Part II: Hartford, CT Connecticut Department of Energy and Environmental Protection Phoenix Auditorium, 79 Elm Street, Hartford, CT 1:00 P.M. - Introduction & Officials Panel...

  14. bectso-ct121 | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Comprehensive Report to Congress Comprehensive Report to Congress on the Clean Coal Technology Program: Demonstration of Innovative Applications of Technology for the CT-121 FGD ...

  15. Predix and Robots in CT Systems | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Robots and Predix make Beijing's CT factory brilliant Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) Robots and Predix make Beijing's CT factory brilliant Guoshuang Cai 2015.04.16 GE Healthcare's Beijing plant is one of the largest factories producing computed tomography (CT) systems in the world. More than 1,000 CT

  16. "EMM Region","PC","IGCC","PC","Conv. CT","Adv. CT","Conv. CC...

    U.S. Energy Information Administration (EIA) Indexed Site

    CT","Conv. CC","Adv. CC","Adv. CC wCCS","Fuel Cell","Nuclear","Biomass","MSW","On-shore Wind","Off-shore Wind","Solar Thermal","Solar PV" ,,,"wCCS" "1 (ERCT)",0.91,0.92,0.92,0.93...

  17. SU-E-T-70: Commissioning a Multislice CT Scanner for X-Ray CT Polymer Gel Dosimetry

    SciTech Connect (OSTI)

    Johnston, H; Hilts, M; Jirasek, A

    2014-06-01

    Purpose: To commission a multislice computed tomography (CT) scanner for fast and reliable readout of radiation therapy (RT) dose distributions using CT polymer gel dosimetry (PGD). Methods: Commissioning was performed for a 16-slice CT scanner using images acquired through a 1L cylinder filled with water. Additional images were collected using a single slice machine for comparison purposes. The variability in CT number associated with the anode heel effect was evaluated and used to define a new slice-by-slice background image subtraction technique. Image quality was assessed for the multislice system by comparing image noise and uniformity to that of the single slice machine. The consistency in CT number across slices acquired simultaneously using the multislice detector array was also evaluated. Finally, the variability in CT number due to increasing x-ray tube load was measured for the multislice scanner and compared to the tube load effects observed on the single slice machine. Results: Slice-by-slice background subtraction effectively removes the variability in CT number across images acquired simultaneously using the multislice scanner and is the recommended background subtraction method when using a multislice CT system. Image quality for the multislice machine was found to be comparable to that of the single slice scanner. Further study showed CT number was consistent across image slices acquired simultaneously using the multislice detector array for each detector configuration of the slice thickness examined. In addition, the multislice system was found to eliminate variations in CT number due to increasing x-ray tube load and reduce scanning time by a factor of 4 when compared to imaging a large volume using a single slice scanner. Conclusion: A multislice CT scanner has been commissioning for CT PGD, allowing images of an entire dose distribution to be acquired in a matter of minutes. Funding support provided by the Natural Sciences and Engineering Research Council of Canada (NSERC)

  18. Explosive Detection in Aviation Applications Using CT

    SciTech Connect (OSTI)

    Martz, H E; Crawford, C R

    2011-02-15

    CT scanners are deployed world-wide to detect explosives in checked and carry-on baggage. Though very similar to single- and dual-energy multi-slice CT scanners used today in medical imaging, some recently developed explosives detection scanners employ multiple sources and detector arrays to eliminate mechanical rotation of a gantry, photon counting detectors for spectral imaging, and limited number of views to reduce cost. For each bag scanned, the resulting reconstructed images are first processed by automated threat recognition algorithms to screen for explosives and other threats. Human operators review the images only when these automated algorithms report the presence of possible threats. The US Department of Homeland Security (DHS) has requirements for future scanners that include dealing with a larger number of threats, higher probability of detection, lower false alarm rates and lower operating costs. One tactic that DHS is pursuing to achieve these requirements is to augment the capabilities of the established security vendors with third-party algorithm developers. A third-party in this context refers to academics and companies other than the established vendors. DHS is particularly interested in exploring the model that has been used very successfully by the medical imaging industry, in which university researchers develop algorithms that are eventually deployed in commercial medical imaging equipment. The purpose of this paper is to discuss opportunities for third-parties to develop advanced reconstruction and threat detection algorithms.

  19. American Ref-Fuel of SE CT Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    Ref-Fuel of SE CT Biomass Facility Jump to: navigation, search Name American Ref-Fuel of SE CT Biomass Facility Facility American Ref-Fuel of SE CT Sector Biomass Facility Type...

  20. MicroCT: Semi-Automated Analysis of CT Reconstructed Data of Home Made Explosive Materials Using the Matlab MicroCT Analysis GUI

    SciTech Connect (OSTI)

    Seetho, I M; Brown, W D; Kallman, J S; Martz, H E; White, W T

    2011-09-22

    This Standard Operating Procedure (SOP) provides the specific procedural steps for analyzing reconstructed CT images obtained under the IDD Standard Operating Procedures for data acquisition [1] and MicroCT image reconstruction [2], per the IDD Quality Assurance Plan for MicroCT Scanning [3]. Although intended to apply primarily to MicroCT data acquired in the HEAFCAT Facility at LLNL, these procedures may also be applied to data acquired at Tyndall from the YXLON cabinet and at TSL from the HEXCAT system. This SOP also provides the procedural steps for preparing the tables and graphs to be used in the reporting of analytical results. This SOP applies to R and D work - for production applications, use [4].

  1. MicroCT: Automated Analysis of CT Reconstructed Data of Home Made Explosive Materials Using the Matlab MicroCT Analysis GUI

    SciTech Connect (OSTI)

    Seetho, I M; Brown, W D; Kallman, J S; Martz, H E; White, W T

    2011-09-22

    This Standard Operating Procedure (SOP) provides the specific procedural steps for analyzing reconstructed CT images obtained under the IDD Standard Operating Procedures for data acquisition [1] and MicroCT image reconstruction [2], per the IDD Quality Assurance Plan for MicroCT Scanning [3]. Although intended to apply primarily to MicroCT data acquired in the HEAFCAT Facility at LLNL, these procedures may also be applied to data acquired at Tyndall from the YXLON cabinet and at TSL from the HEXCAT system. This SOP also provides the procedural steps for preparing the tables and graphs to be used in the reporting of analytical results. This SOP applies to production work - for R and D there are two other semi-automated methods as given in [4, 5].

  2. BAIC CT T SK Holdings JV | Open Energy Information

    Open Energy Info (EERE)

    JV Place: Beijing Municipality, China Product: China-based JV to manufacture and sell electric cars. References: BAIC, CT&T & SK Holdings JV1 This article is a stub. You can...

  3. Ozone contactor hydraulic considerations in meeting CT disinfection

    Office of Scientific and Technical Information (OSTI)

    requirements (Journal Article) | SciTech Connect Ozone contactor hydraulic considerations in meeting CT disinfection requirements Citation Details In-Document Search Title: Ozone contactor hydraulic considerations in meeting CT disinfection requirements Tracer studies were performed in bench and pilot scale ozone diffusion contactors to determine actual contact times for the bench and pilot scale units and to characterize the flow pattern through these reactors. It was recognized that the

  4. CT Scan of Earth Links Mantle Plumes with Volcanic Hotspots

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CT Scan of Earth Links Mantle Plumes with Volcanic Hotspots CT Scan of Earth Links Mantle Plumes with Volcanic Hotspots Simulations Run at NERSC Show How Seismic Waves Travel Through Mantle September 2, 2015 Robert Sanders, rlsanders@berkeley.edu, (510) 643-6998 NERSC PI: Barbara Romanowicz Lead Institution: University of California, Berkeley Project Title: Imaging and Calibration of Mantle Structure at Global and Regional Scales Using Full-Waveform Seismic Tomography NERSC Resources Used:

  5. CT reconstruction techniques for improved accuracy of lung CT airway measurement

    SciTech Connect (OSTI)

    Rodriguez, A.; Ranallo, F. N.; Judy, P. F.; Gierada, D. S.; Fain, S. B.

    2014-11-01

    Purpose: To determine the impact of constrained reconstruction techniques on quantitative CT (qCT) of the lung parenchyma and airways for low x-ray radiation dose. Methods: Measurement of small airways with qCT remains a challenge, especially for low x-ray dose protocols. Images of the COPDGene quality assurance phantom (CTP698, The Phantom Laboratory, Salem, NY) were obtained using a GE discovery CT750 HD scanner for helical scans at x-ray radiation dose-equivalents ranging from 1 to 4.12 mSv (12100 mA s currenttime product). Other parameters were 40 mm collimation, 0.984 pitch, 0.5 s rotation, and 0.625 mm thickness. The phantom was sandwiched between 7.5 cm thick water attenuating phantoms for a total length of 20 cm to better simulate the scatter conditions of patient scans. Image data sets were reconstructed using STANDARD (STD), DETAIL, BONE, and EDGE algorithms for filtered back projection (FBP), 100% adaptive statistical iterative reconstruction (ASIR), and Veo reconstructions. Reduced (half) display field of view (DFOV) was used to increase sampling across airway phantom structures. Inner diameter (ID), wall area percent (WA%), and wall thickness (WT) measurements of eight airway mimicking tubes in the phantom, including a 2.5 mm ID (42.6 WA%, 0.4 mm WT), 3 mm ID (49.0 WA%, 0.6 mm WT), and 6 mm ID (49.0 WA%, 1.2 mm WT) were performed with Airway Inspector (Surgical Planning Laboratory, Brigham and Womens Hospital, Boston, MA) using the phase congruency edge detection method. The average of individual measures at five central slices of the phantom was taken to reduce measurement error. Results: WA% measures were greatly overestimated while IDs were underestimated for the smaller airways, especially for reconstructions at full DFOV (36 cm) using the STD kernel, due to poor sampling and spatial resolution (0.7 mm pixel size). Despite low radiation dose, the ID of the 6 mm ID airway was consistently measured accurately for all methods other than STD FBP. Veo reconstructions showed slight improvement over STD FBP reconstructions (4%9% increase in accuracy). The most improved ID and WA% measures were for the smaller airways, especially for low dose scans reconstructed at half DFOV (18 cm) with the EDGE algorithm in combination with 100% ASIR to mitigate noise. Using the BONE + ASIR at half BONE technique, measures improved by a factor of 2 over STD FBP even at a quarter of the x-ray dose. Conclusions: The flexibility of ASIR in combination with higher frequency algorithms, such as BONE, provided the greatest accuracy for conventional and low x-ray dose relative to FBP. Veo provided more modest improvement in qCT measures, likely due to its compatibility only with the smoother STD kernel.

  6. New Whole-House Solutions Case Study: Nelson Construction, Farmington, CT

    Energy Savers [EERE]

    Nelson Construction partnered with Building America research team Building Science Corporation to design and test 10 high-performance homes in Farmington, Connecticut. Completed after the housing downturn in April 2009, all homes sold within 2 months of being listed at selling prices starting at $649,000. The team designed a building enclosure with superior thermal and air boundaries that exceed 2012 IECC requirements. This included R-13 foam- sheathed walls filled with R-19 cellulose, R-50

  7. Connecticut Nuclear Profile - All Fuels

    U.S. Energy Information Administration (EIA) Indexed Site

    total electric power industry, summer capacity and net generation, by energy source, 2010" "Primary energy source","Summer capacity (mw)","Share of State total (percent)","Net generation (thousand mwh)","Share of State total (percent)" "Nuclear","2,103",25.4,"16,750",50.2 "Coal",564,6.8,"2,604",7.8 "Hydro and Pumped Storage",151,1.8,400,1.2 "Natural

  8. Connecticut Prices, Sales Volumes & Stocks

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    - - - - - - 1986-2015 Kerosene-Type Jet Fuel (Refiner Sales) W W W W W W 1984-2015 Kerosene (Refiner Sales) - - - - - - 1984-2015 No. 1 Distillate (Refiner Sales) - - - - - -...

  9. Categorical Exclusion Determinations: Connecticut | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    January 27, 2016 CX-100460 Categorical Exclusion Determination Additive Manufacturing and the Environment: A Special Issue of the Journal of Industrial Ecology Award Number: ...

  10. Seymour, Connecticut, Site Fact Sheet

    Office of Legacy Management (LM)

    ... AEC, a predecessor agency to DOE, established FUSRAP in March 1974 to evaluate radioactive contamination at sites where work was performed to develop the nation's nuclear weapons ...

  11. Recovery Act State Memos Connecticut

    Broader source: Energy.gov (indexed) [DOE]

    9 * Internal electrical grid allows Frito-Lay facility to stay online despite outages... 9 Clean energy tax ... jet engine known as "Pure Power PW 1000G." Greater New ...

  12. Characterization of the nanoDot OSLD dosimeter in CT

    SciTech Connect (OSTI)

    Scarboro, Sarah B.; Cody, Dianna; Followill, David; Court, Laurence; Stingo, Francesco C.; Kry, Stephen F.; Alvarez, Paola; Zhang, Di; McNitt-Gray, Michael

    2015-04-15

    Purpose: The extensive use of computed tomography (CT) in diagnostic procedures is accompanied by a growing need for more accurate and patient-specific dosimetry techniques. Optically stimulated luminescent dosimeters (OSLDs) offer a potential solution for patient-specific CT point-based surface dosimetry by measuring air kerma. The purpose of this work was to characterize the OSLD nanoDot for CT dosimetry, quantifying necessary correction factors, and evaluating the uncertainty of these factors. Methods: A characterization of the Landauer OSL nanoDot (Landauer, Inc., Greenwood, IL) was conducted using both measurements and theoretical approaches in a CT environment. The effects of signal depletion, signal fading, dose linearity, and angular dependence were characterized through direct measurement for CT energies (80140 kV) and delivered doses ranging from ?5 to >1000 mGy. Energy dependence as a function of scan parameters was evaluated using two independent approaches: direct measurement and a theoretical approach based on Burlin cavity theory and Monte Carlo simulated spectra. This beam-quality dependence was evaluated for a range of CT scanning parameters. Results: Correction factors for the dosimeter response in terms of signal fading, dose linearity, and angular dependence were found to be small for most measurement conditions (<3%). The relative uncertainty was determined for each factor and reported at the two-sigma level. Differences in irradiation geometry (rotational versus static) resulted in a difference in dosimeter signal of 3% on average. Beam quality varied with scan parameters and necessitated the largest correction factor, ranging from 0.80 to 1.15 relative to a calibration performed in air using a 120 kV beam. Good agreement was found between the theoretical and measurement approaches. Conclusions: Correction factors for the measurement of air kerma were generally small for CT dosimetry, although angular effects, and particularly effects due to changes in beam quality, could be more substantial. In particular, it would likely be necessary to account for variations in CT scan parameters and measurement location when performing CT dosimetry using OSLD.

  13. Realistic simulation of reduced-dose CT with noise modeling and sinogram synthesis using DICOM CT images

    SciTech Connect (OSTI)

    Won Kim, Chang; Kim, Jong Hyo

    2014-01-15

    Purpose: Reducing the patient dose while maintaining the diagnostic image quality during CT exams is the subject of a growing number of studies, in which simulations of reduced-dose CT with patient data have been used as an effective technique when exploring the potential of various dose reduction techniques. Difficulties in accessing raw sinogram data, however, have restricted the use of this technique to a limited number of institutions. Here, we present a novel reduced-dose CT simulation technique which provides realistic low-dose images without the requirement of raw sinogram data. Methods: Two key characteristics of CT systems, the noise equivalent quanta (NEQ) and the algorithmic modulation transfer function (MTF), were measured for various combinations of object attenuation and tube currents by analyzing the noise power spectrum (NPS) of CT images obtained with a set of phantoms. Those measurements were used to develop a comprehensive CT noise model covering the reduced x-ray photon flux, object attenuation, system noise, and bow-tie filter, which was then employed to generate a simulated noise sinogram for the reduced-dose condition with the use of a synthetic sinogram generated from a reference CT image. The simulated noise sinogram was filtered with the algorithmic MTF and back-projected to create a noise CT image, which was then added to the reference CT image, finally providing a simulated reduced-dose CT image. The simulation performance was evaluated in terms of the degree of NPS similarity, the noise magnitude, the bow-tie filter effect, and the streak noise pattern at photon starvation sites with the set of phantom images. Results: The simulation results showed good agreement with actual low-dose CT images in terms of their visual appearance and in a quantitative evaluation test. The magnitude and shape of the NPS curves of the simulated low-dose images agreed well with those of real low-dose images, showing discrepancies of less than +/?3.2% in terms of the noise power at the peak height and +/?1.2% in terms of the spatial frequency at the peak height. The magnitudes of the noise measured for 12 different combinations the phantom size, tube current, and reconstruction kernel for the simulated and real low-dose images were very similar, with differences of 0.1 to 4.7%. Thep value for a statistical testing of the difference in the noise magnitude ranged from 0.99 to 0.11, showing that there was no difference statistically between the noise magnitudes of the real and simulated low-dose images using our method. The strength and pattern of the streak noise in an anthropomorphic phantom was also consistent with expectations. Conclusions: A novel reduced-dose CT simulation technique was developed which uses only CT images while not requiring raw sinogram data. Our method can provide realistic simulation results under reduced-dose conditions both in terms of the noise magnitude and the textual appearance. This technique has the potential to promote clinical research for patient dose reductions.

  14. Evolution of spatial resolution in breast CT at UC Davis

    SciTech Connect (OSTI)

    Gazi, Peymon M.; Yang, Kai; Burkett, George W.; Aminololama-Shakeri, Shadi; Anthony Seibert, J.; Boone, John M.

    2015-04-15

    Purpose: Dedicated breast computed tomography (bCT) technology for the purpose of breast cancer screening has been a focus of research at UC Davis since the late 1990s. Previous studies have shown that improvement in spatial resolution characteristics of this modality correlates with greater microcalcification detection, a factor considered a potential limitation of bCT. The aim of this study is to improve spatial resolution as characterized by the modulation transfer function (MTF) via changes in the scanner hardware components and operational schema. Methods: Four prototypes of pendant-geometry, cone-beam breast CT scanners were designed and developed spanning three generations of design evolution. To improve the system MTF in each bCT generation, modifications were made to the imaging components (x-ray tube and flat-panel detector), system geometry (source-to-isocenter and detector distance), and image acquisition parameters (technique factors, number of projections, system synchronization scheme, and gantry rotational speed). Results: Characterization of different generations of bCT systems shows these modifications resulted in a 188% improvement of the limiting MTF properties from the first to second generation and an additional 110% from the second to third. The intrinsic resolution degradation in the azimuthal direction observed in the first generation was corrected by changing the acquisition from continuous to pulsed x-ray acquisition. Utilizing a high resolution detector in the third generation, along with modifications made in system geometry and scan protocol, resulted in a 125% improvement in limiting resolution. An additional 39% improvement was obtained by changing the detector binning mode from 2 2 to 1 1. Conclusions: These results underscore the advancement in spatial resolution characteristics of breast CT technology. The combined use of a pulsed x-ray system, higher resolution flat-panel detector and changing the scanner geometry and image acquisition logic resulted in a significant fourfold improvement in MTF.

  15. bectso-ct121 | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Demonstration of Innovative Applications of Technology for the CT-121 FGD Process - Project Brief [PDF-265KB] Southern Company Services, Newnan, GA PROGRAM PUBLICATIONS Final Reports Demonstration of Innovative Applications of Technology for the CT-121 FGD Process, Final Report (Jan 1997) Volume 1, Executive Summary [PDF-4.6MB] Volume 2, Operation [PDF-32.8MB] Volume 2 Appendices [PDF-6.3MB] Volume 3, Equipment Vol 3a, Materials and Maintenance [PDF-34.6MB] Vol 3b, Instrumentation and Control

  16. Automatic CT simulation optimization for radiation therapy: A general strategy

    SciTech Connect (OSTI)

    Li, Hua Chen, Hsin-Chen; Tan, Jun; Gay, Hiram; Michalski, Jeff M.; Mutic, Sasa; Yu, Lifeng; Anastasio, Mark A.; Low, Daniel A.

    2014-03-15

    Purpose: In radiation therapy, x-ray computed tomography (CT) simulation protocol specifications should be driven by the treatment planning requirements in lieu of duplicating diagnostic CT screening protocols. The purpose of this study was to develop a general strategy that allows for automatically, prospectively, and objectively determining the optimal patient-specific CT simulation protocols based on radiation-therapy goals, namely, maintenance of contouring quality and integrity while minimizing patient CT simulation dose. Methods: The authors proposed a general prediction strategy that provides automatic optimal CT simulation protocol selection as a function of patient size and treatment planning task. The optimal protocol is the one that delivers the minimum dose required to provide a CT simulation scan that yields accurate contours. Accurate treatment plans depend on accurate contours in order to conform the dose to actual tumor and normal organ positions. An image quality index, defined to characterize how simulation scan quality affects contour delineation, was developed and used to benchmark the contouring accuracy and treatment plan quality within the predication strategy. A clinical workflow was developed to select the optimal CT simulation protocols incorporating patient size, target delineation, and radiation dose efficiency. An experimental study using an anthropomorphic pelvis phantom with added-bolus layers was used to demonstrate how the proposed prediction strategy could be implemented and how the optimal CT simulation protocols could be selected for prostate cancer patients based on patient size and treatment planning task. Clinical IMRT prostate treatment plans for seven CT scans with varied image quality indices were separately optimized and compared to verify the trace of target and organ dosimetry coverage. Results: Based on the phantom study, the optimal image quality index for accurate manual prostate contouring was 4.4. The optimal tube potentials for patient sizes of 38, 43, 48, 53, and 58 cm were 120, 140, 140, 140, and 140 kVp, respectively, and the corresponding minimum CTDIvol for achieving the optimal image quality index 4.4 were 9.8, 32.2, 100.9, 241.4, and 274.1 mGy, respectively. For patients with lateral sizes of 43–58 cm, 120-kVp scan protocols yielded up to 165% greater radiation dose relative to 140-kVp protocols, and 140-kVp protocols always yielded a greater image quality index compared to the same dose-level 120-kVp protocols. The trace of target and organ dosimetry coverage and the γ passing rates of seven IMRT dose distribution pairs indicated the feasibility of the proposed image quality index for the predication strategy. Conclusions: A general strategy to predict the optimal CT simulation protocols in a flexible and quantitative way was developed that takes into account patient size, treatment planning task, and radiation dose. The experimental study indicated that the optimal CT simulation protocol and the corresponding radiation dose varied significantly for different patient sizes, contouring accuracy, and radiation treatment planning tasks.

  17. Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy

    SciTech Connect (OSTI)

    Yang, Xiaofeng Rossi, Peter; Ogunleye, Tomi; Marcus, David M.; Jani, Ashesh B.; Curran, Walter J.; Liu, Tian; Mao, Hui

    2014-11-01

    Purpose: The technological advances in real-time ultrasound image guidance for high-dose-rate (HDR) prostate brachytherapy have placed this treatment modality at the forefront of innovation in cancer radiotherapy. Prostate HDR treatment often involves placing the HDR catheters (needles) into the prostate gland under the transrectal ultrasound (TRUS) guidance, then generating a radiation treatment plan based on CT prostate images, and subsequently delivering high dose of radiation through these catheters. The main challenge for this HDR procedure is to accurately segment the prostate volume in the CT images for the radiation treatment planning. In this study, the authors propose a novel approach that integrates the prostate volume from 3D TRUS images into the treatment planning CT images to provide an accurate prostate delineation for prostate HDR treatment. Methods: The authors approach requires acquisition of 3D TRUS prostate images in the operating room right after the HDR catheters are inserted, which takes 13 min. These TRUS images are used to create prostate contours. The HDR catheters are reconstructed from the intraoperative TRUS and postoperative CT images, and subsequently used as landmarks for the TRUSCT image fusion. After TRUSCT fusion, the TRUS-based prostate volume is deformed to the CT images for treatment planning. This method was first validated with a prostate-phantom study. In addition, a pilot study of ten patients undergoing HDR prostate brachytherapy was conducted to test its clinical feasibility. The accuracy of their approach was assessed through the locations of three implanted fiducial (gold) markers, as well as T2-weighted MR prostate images of patients. Results: For the phantom study, the target registration error (TRE) of gold-markers was 0.41 0.11 mm. For the ten patients, the TRE of gold markers was 1.18 0.26 mm; the prostate volume difference between the authors approach and the MRI-based volume was 7.28% 0.86%, and the prostate volume Dice overlap coefficient was 91.89% 1.19%. Conclusions: The authors have developed a novel approach to improve prostate contour utilizing intraoperative TRUS-based prostate volume in the CT-based prostate HDR treatment planning, demonstrated its clinical feasibility, and validated its accuracy with MRIs. The proposed segmentation method would improve prostate delineations, enable accurate dose planning and treatment delivery, and potentially enhance the treatment outcome of prostate HDR brachytherapy.

  18. Test of 3D CT reconstructions by EM + TV algorithm from undersampled data

    SciTech Connect (OSTI)

    Evseev, Ivan; Ahmann, Francielle; Silva, Hamilton P. da

    2013-05-06

    Computerized tomography (CT) plays an important role in medical imaging for diagnosis and therapy. However, CT imaging is connected with ionization radiation exposure of patients. Therefore, the dose reduction is an essential issue in CT. In 2011, the Expectation Maximization and Total Variation Based Model for CT Reconstruction (EM+TV) was proposed. This method can reconstruct a better image using less CT projections in comparison with the usual filtered back projection (FBP) technique. Thus, it could significantly reduce the overall dose of radiation in CT. This work reports the results of an independent numerical simulation for cone beam CT geometry with alternative virtual phantoms. As in the original report, the 3D CT images of 128 Multiplication-Sign 128 Multiplication-Sign 128 virtual phantoms were reconstructed. It was not possible to implement phantoms with lager dimensions because of the slowness of code execution even by the CORE i7 CPU.

  19. Poulsen Hybrid, LLC | Open Energy Information

    Open Energy Info (EERE)

    6 Waterview Drive Place: Shelton, Connecticut Zip: 06615 Region: Northeast - NY NJ CT PA Area Sector: Vehicles Product: Poulsen Hybrid Year Founded: 2007 Phone Number:...

  20. Low Interest Energy Efficiency Loan Program (Electric and Gas)

    Broader source: Energy.gov [DOE]

    Energize CT offers low interest loans for commercial and industrial customers for investments in energy efficiency improvements. Electric customers of Connecticut Light & Power, United...

  1. Sunlight Solar Energy | Open Energy Information

    Open Energy Info (EERE)

    Energy Jump to: navigation, search Name: Sunlight Solar Energy Address: 4 Oxford Road Place: Milford, Connecticut Zip: 06460 Region: Northeast - NY NJ CT PA Area Sector: Solar...

  2. Levco Energy | Open Energy Information

    Open Energy Info (EERE)

    Ave. Place: Norwalk, Connecticut Zip: 06851 Region: Northeast - NY NJ CT PA Area Sector: Services Product: Green Power Marketer Website: www.levcoenergy.com Coordinates:...

  3. United Technologies Corp | Open Energy Information

    Open Energy Info (EERE)

    United Technologies Corp Place: Hartford, Connecticut Zip: CT 06101 Sector: Hydro, Hydrogen Product: UTC is a global technology corporation with activities in aerospace,...

  4. Avalence LLC | Open Energy Information

    Open Energy Info (EERE)

    Place: Milford, Connecticut Zip: 06460 Region: Northeast - NY NJ CT PA Area Sector: Hydrogen Product: Hydrogen generating equipment Website: www.avalence.com Coordinates:...

  5. LiquidPiston Inc | Open Energy Information

    Open Energy Info (EERE)

    Connecticut Zip: 06002 Region: Northeast - NY NJ CT PA Area Sector: Efficiency Product: New combustion engine technology to drastically improve efficiency Website:...

  6. Distributed Energy Systems Corp | Open Energy Information

    Open Energy Info (EERE)

    Distributed Energy Systems Corp Jump to: navigation, search Name: Distributed Energy Systems Corp Place: Wallingford, Connecticut Zip: CT 06492 Product: The former holding company...

  7. MissionPoint Capital Partners | Open Energy Information

    Open Energy Info (EERE)

    MissionPoint Capital Partners Jump to: navigation, search Name: MissionPoint Capital Partners Place: Norwalk, Connecticut Zip: CT 06854 Product: Private Investment company...

  8. New England Energy Management Inc | Open Energy Information

    Open Energy Info (EERE)

    Inc Jump to: navigation, search Name: New England Energy Management Inc Address: 5 Shelter Rock Road Place: Danbury, Connecticut Zip: 06810 Region: Northeast - NY NJ CT PA Area...

  9. Non-medical Uses of Computed Tomography (CT) and Nuclear Magnetic Resonance

    Office of Scientific and Technical Information (OSTI)

    (NMR) Non-medical Uses of Computed Tomography (CT) and Nuclear Magnetic Resonance (NMR) Resources with Additional Information Computed Tomography (CT) Scanner CT Scanner - Courtesy Stanford University Department of Energy Resources Engineering Computed tomography (CT) and Nuclear Magnetic Resonance (NMR) have been used to resolve industrial problems, for materials characterizations, and to provide non-destructive evaluations for discovering flaws in parts before their use, resulting in

  10. SciThur PM: Imaging 06: Canada's National Computed Tomography (CT) Survey

    SciTech Connect (OSTI)

    Wardlaw, GM; Martel, N; Blackler, W; Asselin, J-F

    2014-08-15

    The value of computed tomography (CT) in medical imaging is reflected in its' increased use and availability since the early 1990's; however, given CT's relatively larger exposures (vs. planar x-ray) greater care must be taken to ensure that CT procedures are optimised in terms of providing the smallest dose possible while maintaining sufficient diagnostic image quality. The development of CT Diagnostic Reference Levels (DRLs) supports this process. DRLs have been suggested/supported by international/national bodies since the early 1990's and widely adopted elsewhere, but not on a national basis in Canada. Essentially, CT DRLs provide guidance on what is considered good practice for common CT exams, but require a representative sample of CT examination data to make any recommendations. Canada's National CT Survey project, in collaboration with provincial/territorial authorities, has collected a large national sample of CT practice data for 7 common examinations (with associated clinical indications) of both adult and pediatric patients. Following completion of data entry into a common database, a survey summary report and recommendations will be made on CT DRLs from this data. It is hoped that these can then be used by local regions to promote CT practice optimisation and support any dose reduction initiatives.

  11. I L S-V I I I J* I LI

    Office of Legacy Management (LM)

    L - S-V I I I J* I LI 11. LI L - OAK RlDGE NATBONAL LABORATORY <;> "J :-: ,rj _ .- ORNLnM- 12225 I: ?, .,I Radiological Survey Results at the Former Bridgeport Brass Company Facility Seymour, Connecticut R. D. Foley R. F . Carrier c MANAGED BY MARTIN MARIETTA ENERGY SYSTERlS, INC. - FOR TRE UNITED STATES DEPARTMENT OF ENERGY / l- _I. _ --..--.- This report has been reproduced directly from the best available copy. Available to DOE and DOE contractors from the Cffice of Scientific and

  12. OFtNL/TM-12390

    Office of Legacy Management (LM)

    cl 2-8 OFtNL/TM-12390 Results of the Independent Radiological Verification Survey at the former Bridgeport Brass Company Facility, Seymour, Connecticut (sscool) R. D. Foley D. E. Rice J. F. Allred K. S. Brown This report has been reproduced directly from the best available copy. Available to DOE and DOE contractors from the Office of Scientific and Techni- cal Information, P.O. Box 62, Oak Ridge, TN 37831; prices available from (615) 576640 1, FTS 626-840 1. Available to the public from the

  13. Utilizing a simple CT dosimetry phantom for the comprehension of the operational characteristics of CT AEC systems

    SciTech Connect (OSTI)

    Tsalafoutas, Ioannis A.; Varsamidis, Athanasios; Thalassinou, Stella; Efstathopoulos, Efstathios P.

    2013-11-15

    Purpose: To investigate the utility of the nested polymethylacrylate (PMMA) phantom (which is available in many CT facilities for CTDI measurements), as a tool for the presentation and comparison of the ways that two different CT automatic exposure control (AEC) systems respond to a phantom when various scan parameters and AEC protocols are modified.Methods: By offsetting the two phantom's components (the head phantom and the body ring) half-way along their longitudinal axis, a phantom with three sections of different x-ray attenuation was created. Scan projection radiographs (SPRs) and helical scans of the three-section phantom were performed on a Toshiba Aquilion 64 and a Philips Brilliance 64 CT scanners, with different scan parameter selections [scan direction, pitch factor, slice thickness, and reconstruction interval (ST/RI), AEC protocol, and tube potential used for the SPRs]. The dose length product (DLP) values of each scan were recorded and the tube current (mA) values of the reconstructed CT images were plotted against the respective Z-axis positions on the phantom. Furthermore, measurements of the noise levels at the center of each phantom section were performed to assess the impact of mA modulation on image quality.Results: The mA modulation patterns of the two CT scanners were very dissimilar. The mA variations were more pronounced for Aquilion 64, where changes in any of the aforementioned scan parameters affected both the mA modulations curves and DLP values. However, the noise levels were affected only by changes in pitch, ST/RI, and AEC protocol selections. For Brilliance 64, changes in pitch affected the mA modulation curves but not the DLP values, whereas only AEC protocol and SPR tube potential selection variations affected both the mA modulation curves and DLP values. The noise levels increased for smaller ST/RI, larger weight category AEC protocol, and larger SPR tube potential selection.Conclusions: The nested PMMA dosimetry phantom can be effectively utilized for the comprehension of CT AEC systems performance and the way that different scan conditions affect the mA modulation patterns, DLP values, and image noise. However, in depth analysis of the reasons why these two systems exhibited such different behaviors in response to the same phantom requires further investigation which is beyond the scope of this study.

  14. Upright cone beam CT imaging using the onboard imager

    SciTech Connect (OSTI)

    Fave, Xenia Martin, Rachael; Yang, Jinzhong; Balter, Peter; Court, Laurence; Carvalho, Luis; Pan, Tinsu

    2014-06-15

    Purpose: Many patients could benefit from being treated in an upright position. The objectives of this study were to determine whether cone beam computed tomography (CBCT) could be used to acquire upright images for treatment planning and to demonstrate whether reconstruction of upright images maintained accurate geometry and Hounsfield units (HUs). Methods: A TrueBeam linac was programmed in developer mode to take upright CBCT images. The gantry head was positioned at 0, and the couch was rotated to 270. The x-ray source and detector arms were extended to their lateral positions. The x-ray source and gantry remained stationary as fluoroscopic projections were taken and the couch was rotated from 270 to 90. The x-ray tube current was normalized to deposit the same dose (measured using a calibrated Farmer ion chamber) as that received during a clinical helical CT scan to the center of a cylindrical, polyethylene phantom. To extend the field of view, two couch rotation scans were taken with the detector offset 15 cm superiorly and then 15 cm inferiorly. The images from these two scans were stitched together before reconstruction. Upright reconstructions were compared to reconstructions from simulation CT scans of the same phantoms. Two methods were investigated for correcting the HUs, including direct calibration and mapping the values from a simulation CT. Results: Overall geometry, spatial linearity, and high contrast resolution were maintained in upright reconstructions. Some artifacts were created and HU accuracy was compromised; however, these limitations could be removed by mapping the HUs from a simulation CT to the upright reconstruction for treatment planning. Conclusions: The feasibility of using the TrueBeam linac to take upright CBCT images was demonstrated. This technique is straightforward to implement and could be of enormous benefit to patients with thoracic tumors or those who find a supine position difficult to endure.

  15. ANL CT Reconstruction Algorithm for Utilizing Digital X-ray

    Energy Science and Technology Software Center (OSTI)

    2004-05-01

    Reconstructs X-ray computed tomographic images from large data sets known as 16-bit binary sinograms when using a massively parallelized computer architecture such as a Beowuif cluster by parallelizing the X-ray CT reconstruction routine. The algorithm uses the concept of generation of an image from carefully obtained multiple 1-D or 2-D X-ray projections. The individual projections are filtered using a digital Fast Fourier Transform. The literature refers to this as filtered back projection.

  16. Building America Case Study: Retrofitting a 1960s Split-Level, Cold-Climate Home, Westport, Connecticut; Whole-House Solutions for Existing Homes, Energy Efficiency & Renewable Energy (EERE)

    SciTech Connect (OSTI)

    2015-08-01

    ??National programs such as Home Performance with ENERGY STAR(R) and numerous other utility air sealing programs have brought awareness to homeowners of the benefits of energy efficiency retrofits. Yet, these programs tend to focus on the low-hanging fruit: air-sealing the thermal envelope and ductwork where accessible, switch to efficient lighting, and low-flow fixtures. At the other end of the spectrum, deep-energy retrofit programs are also being encouraged by various utilities across the country. While deep energy retrofits typically seek 50% energy savings, they are often quite costly and most applicable to gut-rehab projects. A significant potential for lowering energy usage in existing homes lies between the low hanging fruit and deep energy retrofit approaches - retrofits that save approximately 30% in energy over the existing conditions. A key is to be non-intrusive with the efficiency measures so the retrofit projects can be accomplished in occupied homes. This cold climate retrofit project involved the design and optimization of a home in Connecticut that sought to improve energy savings by at least 30% (excluding solar PV) over the existing home's performance. This report documents the successful implementation of a cost-effective solution package that achieved performance greater than 30% over the pre-retrofit - what worked, what did not, and what improvements could be made. Confirmation of successfully achieving 30% source energy savings over the pre-existing conditions was confirmed through energy modeling and comparison of the utility bills pre- and post- retrofit.

  17. Ultralow dose computed tomography attenuation correction for pediatric PET CT using adaptive statistical iterative reconstruction

    SciTech Connect (OSTI)

    Brady, Samuel L.; Shulkin, Barry L.

    2015-02-15

    Purpose: To develop ultralow dose computed tomography (CT) attenuation correction (CTAC) acquisition protocols for pediatric positron emission tomography CT (PET CT). Methods: A GE Discovery 690 PET CT hybrid scanner was used to investigate the change to quantitative PET and CT measurements when operated at ultralow doses (1035 mA s). CT quantitation: noise, low-contrast resolution, and CT numbers for 11 tissue substitutes were analyzed in-phantom. CT quantitation was analyzed to a reduction of 90% volume computed tomography dose index (0.39/3.64; mGy) from baseline. To minimize noise infiltration, 100% adaptive statistical iterative reconstruction (ASiR) was used for CT reconstruction. PET images were reconstructed with the lower-dose CTAC iterations and analyzed for: maximum body weight standardized uptake value (SUV{sub bw}) of various diameter targets (range 837 mm), background uniformity, and spatial resolution. Radiation dose and CTAC noise magnitude were compared for 140 patient examinations (76 post-ASiR implementation) to determine relative dose reduction and noise control. Results: CT numbers were constant to within 10% from the nondose reduced CTAC image for 90% dose reduction. No change in SUV{sub bw}, background percent uniformity, or spatial resolution for PET images reconstructed with CTAC protocols was found down to 90% dose reduction. Patient population effective dose analysis demonstrated relative CTAC dose reductions between 62% and 86% (3.2/8.30.9/6.2). Noise magnitude in dose-reduced patient images increased but was not statistically different from predose-reduced patient images. Conclusions: Using ASiR allowed for aggressive reduction in CT dose with no change in PET reconstructed images while maintaining sufficient image quality for colocalization of hybrid CT anatomy and PET radioisotope uptake.

  18. Automated matching and segmentation of lymphoma on serial CT examinations

    SciTech Connect (OSTI)

    Yan Jiayong; Zhao Binsheng; Curran, Sean; Zelenetz, Andrew; Schwartz, Lawrence H.

    2007-01-15

    In patients with lymphoma, identification and quantification of the tumor extent on serial CT examinations is critical for assessing tumor response to therapy. In this paper, we present a computer method to automatically match and segment lymphomas in follow-up CT images. The method requires that target lymph nodes in baseline CT images be known. A fast, approximate alignment technique along the x, y, and axial directions is developed to provide a good initial condition for the subsequent fast free form deformation (FFD) registration of the baseline and the follow-up images. As a result of the registration, the deformed lymph node contours from the baseline images are used to automatically determine internal and external markers for the marker-controlled watershed segmentation performed in the follow-up images. We applied this automated registration and segmentation method retrospectively to 29 lymph nodes in 9 lymphoma patients treated in a clinical trial at our cancer center. A radiologist independently delineated all lymph nodes on all slices in the follow-up images and his manual contours served as the ''gold standard'' for evaluation of the method. Preliminary results showed that 26/29 (89.7%) lymph nodes were correctly matched; i.e., there was a geometrical overlap between the deformed lymph node from the baseline and its corresponding mass in the follow-up images. Of the matched 26 lymph nodes, 22 (84.6%) were successfully segmented; for these 22 lymph nodes, several metrics were calculated to quantify the method's performance. Among them, the average distance and the Hausdorff distance between the contours generated by the computer and those generated by the radiologist were 0.9 mm (stdev. 0.4 mm) and 3.9 mm (stdev. 2.1 mm), respectively.

  19. DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT |

    Energy Savers [EERE]

    Department of Energy Danbury, CT DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT Case study of a DOE Zero Energy Ready home in Danbury, CT, that scored HERS 35 without PV. This 2-story, 1,650-ft2 cabin built by a custom home builder for his own family meets Passive House Standards with 5.5-in. of foil-faced polysiocyanurate foam boards lining the outside walls, R-55 of rigid EPS foam under the slab,

  20. DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT |

    Energy Savers [EERE]

    Department of Energy Brookside Development, Derby, CT DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT Case study of a DOE Zero Energy Ready home in Derby, CT, that achieves a HERS score of 45 without PV or HERS 26 with PV. The production home is one of a development of 7 two-story, 4,000+-ft2 certified homes that have 2x4 walls filled with 1.5 in. closed-cell spray foam, 2-in. fiberglass batt,

  1. Semi-automatic delineation using weighted CT-MRI registered images...

    Office of Scientific and Technical Information (OSTI)

    cancer Citation Details In-Document Search Title: Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer Purpose: ...

  2. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTR.l\CT

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CONTR.l\CT 2. AMENDMENT/MODIFICATION NO. j3. EFFECTIVE DATE 179 I see Block l6C 6.1SSUEDBY CODE 100603 Office of River Protection U~S .. Department of Energy Office of River Protection P.O. Box 450 Richland WA 99352 8. NAME AND ADDRESS OF CONTRACTOR (No., street county, State and ZiP Code) WASHINGTON RIVER PROTECTION SOLUTIONS LLC Attn: KAREN VACCA C/0 URS ENERGY & CONSTRUCTION, INC. PO BOX 73 I 720 PARK BLVD BOISE ID 837290073 CODE 806500521 I FACILITY CODE 11. THIS ITEM ONLY APPLIE ,. The

  3. CT Scans of Cores Metadata, Barrow, Alaska 2015

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Katie McKnight; Tim Kneafsey; Craig Ulrich

    2015-03-11

    Individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, throughout 2013 and 2014. Cores were drilled along different transects to sample polygonal features (i.e. the trough, center and rim of high, transitional and low center polygons). Most cores were drilled around 1 meter in depth and a few deep cores were drilled around 3 meters in depth. Three-dimensional images of the frozen cores were constructed using a medical X-ray computed tomography (CT) scanner. TIFF files can be uploaded to ImageJ (an open-source imaging software) to examine soil structure and densities within each core.

  4. Quant-CT: Segmenting and Quantifying Computed Tomography

    Energy Science and Technology Software Center (OSTI)

    2011-10-01

    Quant-CT is currently a plugin to ImageJ, designed as a Java-class that provides control mechanism for the user to choose volumes of interest within porous material, followed by the selection of image subsamples for automated tuning of parameters for filters and classifiers, and finally measurement of material geometry, porosity, and visualization. Denoising is mandatory before any image interpretation, and we implemented a new 3D java code that performs bilateral filtering of data. Segmentation of themore » dense material is essential before any quantifications about geological sample structure, and we invented new schemes to deal with over segmentation when using statistical region merging algorithm to pull out grains that compose imaged material. It make uses of ImageJ API and other standard and thirty-party APIs. Quant-CT conception started in 2011 under Scidac-e sponsor, and details of the first prototype were documented in publications below. While it is used right now for microtomography images, it can potentially be used by anybody with 3D image data obtained by experiment or produced by simulation.« less

  5. Simultaneous CT and SPECT tomography using CZT detectors

    DOE Patents [OSTI]

    Paulus, Michael J. (Knoxville, TN); Sari-Sarraf, Hamed (Lubbock, TX); Simpson, Michael L. (Knoxville, TN); Britton, Jr., Charles L. (Alcoa, TN)

    2002-01-01

    A method for simultaneous transmission x-ray computed tomography (CT) and single photon emission tomography (SPECT) comprises the steps of: injecting a subject with a tracer compound tagged with a .gamma.-ray emitting nuclide; directing an x-ray source toward the subject; rotating the x-ray source around the subject; emitting x-rays during the rotating step; rotating a cadmium zinc telluride (CZT) two-sided detector on an opposite side of the subject from the source; simultaneously detecting the position and energy of each pulsed x-ray and each emitted .gamma.-ray captured by the CZT detector; recording data for each position and each energy of each the captured x-ray and .gamma.-ray; and, creating CT and SPECT images from the recorded data. The transmitted energy levels of the x-rays lower are biased lower than energy levels of the .gamma.-rays. The x-ray source is operated in a continuous mode. The method can be implemented at ambient temperatures.

  6. Designation of Sites for Remedial Action - Metal Hydrides, Beverly,

    Office of Legacy Management (LM)

    T: Designation of Sites for Remedial Action - Metal Hydrides, Beverly, MA; Bridgeport Brass, Adrian, MI and Seymour, Chicago, IL CT; National Guard Armory, 0: Joe LaGrone, Manager Oak Ridge Operations Office Based on the attached radiological survey data (Attachments 1 through 3) and an appropriate authority review, the following properties are being authorized for remedial action. It should be noted that the attached survey data are for designation purposes only and that Bechtel National, Inc.

  7. Grji'

    Office of Legacy Management (LM)

    Grji' cd ,-ytE,tes Government w. / -/ I-i' -- -' - ,:' d--z, L, -. m Deparlment of Energy REPLY TO NE-20 ATTN OF. SUGJECT: Designation of Sites for Remedial Action - Metal Hydrides, Beverly, MA; Bridgeport Brass, Adrian, MI and Seymour, Chicago, IL CT; National Guard Amory, TO. Joe LaGrone, Macager Oak Ridge Operations Office 6ased on the attached radiological survey data (Attachments 1 through 3) and an appropriate authority review, the following properties are being authorized for remedial

  8. Segmentation-free empirical beam hardening correction for CT

    SciTech Connect (OSTI)

    Schller, Sren; Sawall, Stefan; Stannigel, Kai; Hlsbusch, Markus; Ulrici, Johannes; Hell, Erich; Kachelrie, Marc

    2015-02-15

    Purpose: The polychromatic nature of the x-ray beams and their effects on the reconstructed image are often disregarded during standard image reconstruction. This leads to cupping and beam hardening artifacts inside the reconstructed volume. To correct for a general cupping, methods like water precorrection exist. They correct the hardening of the spectrum during the penetration of the measured object only for the major tissue class. In contrast, more complex artifacts like streaks between dense objects need other techniques of correction. If using only the information of one single energy scan, there are two types of corrections. The first one is a physical approach. Thereby, artifacts can be reproduced and corrected within the original reconstruction by using assumptions in a polychromatic forward projector. These assumptions could be the used spectrum, the detector response, the physical attenuation and scatter properties of the intersected materials. A second method is an empirical approach, which does not rely on much prior knowledge. This so-called empirical beam hardening correction (EBHC) and the previously mentioned physical-based technique are both relying on a segmentation of the present tissues inside the patient. The difficulty thereby is that beam hardening by itself, scatter, and other effects, which diminish the image quality also disturb the correct tissue classification and thereby reduce the accuracy of the two known classes of correction techniques. The herein proposed method works similar to the empirical beam hardening correction but does not require a tissue segmentation and therefore shows improvements on image data, which are highly degraded by noise and artifacts. Furthermore, the new algorithm is designed in a way that no additional calibration or parameter fitting is needed. Methods: To overcome the segmentation of tissues, the authors propose a histogram deformation of their primary reconstructed CT image. This step is essential for the proposed algorithm to be segmentation-free (sf). This deformation leads to a nonlinear accentuation of higher CT-values. The original volume and the gray value deformed volume are monochromatically forward projected. The two projection sets are then monomially combined and reconstructed to generate sets of basis volumes which are used for correction. This is done by maximization of the image flatness due to adding additionally a weighted sum of these basis images. sfEBHC is evaluated on polychromatic simulations, phantom measurements, and patient data. The raw data sets were acquired by a dual source spiral CT scanner, a digital volume tomograph, and a dual source micro CT. Different phantom and patient data were used to illustrate the performance and wide range of usability of sfEBHC across different scanning scenarios. The artifact correction capabilities are compared to EBHC. Results: All investigated cases show equal or improved image quality compared to the standard EBHC approach. The artifact correction is capable of correcting beam hardening artifacts for different scan parameters and scan scenarios. Conclusions: sfEBHC generates beam hardening-reduced images and is furthermore capable of dealing with images which are affected by high noise and strong artifacts. The algorithm can be used to recover structures which are hardly visible inside the beam hardening-affected regions.

  9. Investigation of statistical iterative reconstruction for dedicated breast CT

    SciTech Connect (OSTI)

    Makeev, Andrey; Glick, Stephen J.

    2013-08-15

    Purpose: Dedicated breast CT has great potential for improving the detection and diagnosis of breast cancer. Statistical iterative reconstruction (SIR) in dedicated breast CT is a promising alternative to traditional filtered backprojection (FBP). One of the difficulties in using SIR is the presence of free parameters in the algorithm that control the appearance of the resulting image. These parameters require tuning in order to achieve high quality reconstructions. In this study, the authors investigated the penalized maximum likelihood (PML) method with two commonly used types of roughness penalty functions: hyperbolic potential and anisotropic total variation (TV) norm. Reconstructed images were compared with images obtained using standard FBP. Optimal parameters for PML with the hyperbolic prior are reported for the task of detecting microcalcifications embedded in breast tissue.Methods: Computer simulations were used to acquire projections in a half-cone beam geometry. The modeled setup describes a realistic breast CT benchtop system, with an x-ray spectra produced by a point source and an a-Si, CsI:Tl flat-panel detector. A voxelized anthropomorphic breast phantom with 280 ?m microcalcification spheres embedded in it was used to model attenuation properties of the uncompressed woman's breast in a pendant position. The reconstruction of 3D images was performed using the separable paraboloidal surrogates algorithm with ordered subsets. Task performance was assessed with the ideal observer detectability index to determine optimal PML parameters.Results: The authors' findings suggest that there is a preferred range of values of the roughness penalty weight and the edge preservation threshold in the penalized objective function with the hyperbolic potential, which resulted in low noise images with high contrast microcalcifications preserved. In terms of numerical observer detectability index, the PML method with optimal parameters yielded substantially improved performance (by a factor of greater than 10) compared to FBP. The hyperbolic prior was also observed to be superior to the TV norm. A few of the best-performing parameter pairs for the PML method also demonstrated superior performance for various radiation doses. In fact, using PML with certain parameter values results in better images, acquired using 2 mGy dose, than FBP-reconstructed images acquired using 6 mGy dose.Conclusions: A range of optimal free parameters for the PML algorithm with hyperbolic and TV norm-based potentials is presented for the microcalcification detection task, in dedicated breast CT. The reported values can be used as starting values of the free parameters, when SIR techniques are used for image reconstruction. Significant improvement in image quality can be achieved by using PML with optimal combination of parameters, as compared to FBP. Importantly, these results suggest improved detection of microcalcifications can be obtained by using PML with lower radiation dose to the patient, than using FBP with higher dose.

  10. SU-E-J-43: Deformed Planning CT as An Electron Density Substitute for Cone-Beam CT

    SciTech Connect (OSTI)

    Mishra, K; Godley, A

    2014-06-01

    Purpose: To confirm that deforming the planning CT to the daily Cone-Beam CTs (CBCT) can provide suitable electron density for adaptive planning. We quantify the dosimetric difference between plans calculated on deformed planning CTs (DPCT) and daily CT-on-rails images (CTOR). CTOR is used as a test of the method as CTOR already contains accurate electron density to compare against. Methods: Five prostate only IMRT patients, each with five CTOR images, were selected and re-planned on Panther (Prowess Inc.) with a uniform 5 mm PTV expansion, prescribed 78 Gy. The planning CT was deformed to match each CTOR using ABAS (Elekta Inc.). Contours were drawn on the CTOR, and copied to the DPCT. The original treatment plan was copied to both the CTOR and DPCT, keeping the center of the prostate as the isocenter. The plans were then calculated using the collapsed cone heterogeneous dose engine of Prowess and typical DVH planning parameters used to compare them. Results: Each DPCT was visually compared to its CTOR with no differences observed. The agreement of the copied CTOR contours with the DPCT anatomy further demonstrated the deformation accuracy. The plans calculated using CTOR and DPCT were compared. Over the 25 plan pairs, the average difference between them for prostate D100, D98 and D95 were 0.5%, 0.2%, and 0.2%; PTV D98, D95 and mean dose: 0.3%, 0.2% and 0.3%; bladder V70, V60 and mean dose: 1.1%, 0.7%, and 0.2%; and rectum mean dose: 0.3%. (D100 is the dose covering 100% of the target; V70 is the volume of the organ receiving 70 Gy). Conclusion: We observe negligible difference between the dose calculated on the DPCT and the CTOR, implying that deformed planning CTs are a suitable substitute for electron density. The method can now be applied to CBCTs. Research version of Panther provided by Prowess Inc. Research version of ABAS provided by Elekta Inc.

  11. Patient dose estimation from CT scans at the Mexican National Neurology and Neurosurgery Institute

    SciTech Connect (OSTI)

    Alva-Sánchez, Héctor

    2014-11-07

    In the radiology department of the Mexican National Institute of Neurology and Neurosurgery, a dedicated institute in Mexico City, on average 19.3 computed tomography (CT) examinations are performed daily on hospitalized patients for neurological disease diagnosis, control scans and follow-up imaging. The purpose of this work was to estimate the effective dose received by hospitalized patients who underwent a diagnostic CT scan using typical effective dose values for all CT types and to obtain the estimated effective dose distributions received by surgical and non-surgical patients. Effective patient doses were estimated from values per study type reported in the applications guide provided by the scanner manufacturer. This retrospective study included all hospitalized patients who underwent a diagnostic CT scan between 1 January 2011 and 31 December 2012. A total of 8777 CT scans were performed in this two-year period. Simple brain scan was the CT type performed the most (74.3%) followed by contrasted brain scan (6.1%) and head angiotomography (5.7%). The average number of CT scans per patient was 2.83; the average effective dose per patient was 7.9 mSv; the mean estimated radiation dose was significantly higher for surgical (9.1 mSv) than non-surgical patients (6.0 mSv). Three percent of the patients had 10 or more brain CT scans and exceeded the organ radiation dose threshold set by the International Commission on Radiological Protection for deterministic effects of the eye-lens. Although radiation patient doses from CT scans were in general relatively low, 187 patients received a high effective dose (>20 mSv) and 3% might develop cataract from cumulative doses to the eye lens.

  12. Deformable image registration based automatic CT-to-CT contour propagation for head and neck adaptive radiotherapy in the routine clinical setting

    SciTech Connect (OSTI)

    Kumarasiri, Akila Siddiqui, Farzan; Liu, Chang; Yechieli, Raphael; Shah, Mira; Pradhan, Deepak; Zhong, Hualiang; Chetty, Indrin J.; Kim, Jinkoo

    2014-12-15

    Purpose: To evaluate the clinical potential of deformable image registration (DIR)-based automatic propagation of physician-drawn contours from a planning CT to midtreatment CT images for head and neck (H and N) adaptive radiotherapy. Methods: Ten H and N patients, each with a planning CT (CT1) and a subsequent CT (CT2) taken approximately 3–4 week into treatment, were considered retrospectively. Clinically relevant organs and targets were manually delineated by a radiation oncologist on both sets of images. Four commercial DIR algorithms, two B-spline-based and two Demons-based, were used to deform CT1 and the relevant contour sets onto corresponding CT2 images. Agreement of the propagated contours with manually drawn contours on CT2 was visually rated by four radiation oncologists in a scale from 1 to 5, the volume overlap was quantified using Dice coefficients, and a distance analysis was done using center of mass (CoM) displacements and Hausdorff distances (HDs). Performance of these four commercial algorithms was validated using a parameter-optimized Elastix DIR algorithm. Results: All algorithms attained Dice coefficients of >0.85 for organs with clear boundaries and those with volumes >9 cm{sup 3}. Organs with volumes <3 cm{sup 3} and/or those with poorly defined boundaries showed Dice coefficients of ∼0.5–0.6. For the propagation of small organs (<3 cm{sup 3}), the B-spline-based algorithms showed higher mean Dice values (Dice = 0.60) than the Demons-based algorithms (Dice = 0.54). For the gross and planning target volumes, the respective mean Dice coefficients were 0.8 and 0.9. There was no statistically significant difference in the Dice coefficients, CoM, or HD among investigated DIR algorithms. The mean radiation oncologist visual scores of the four algorithms ranged from 3.2 to 3.8, which indicated that the quality of transferred contours was “clinically acceptable with minor modification or major modification in a small number of contours.” Conclusions: Use of DIR-based contour propagation in the routine clinical setting is expected to increase the efficiency of H and N replanning, reducing the amount of time needed for manual target and organ delineations.

  13. Iterative image-domain decomposition for dual-energy CT

    SciTech Connect (OSTI)

    Niu, Tianye; Dong, Xue; Petrongolo, Michael; Zhu, Lei

    2014-04-15

    Purpose: Dual energy CT (DECT) imaging plays an important role in advanced imaging applications due to its capability of material decomposition. Direct decomposition via matrix inversion suffers from significant degradation of image signal-to-noise ratios, which reduces clinical values of DECT. Existing denoising algorithms achieve suboptimal performance since they suppress image noise either before or after the decomposition and do not fully explore the noise statistical properties of the decomposition process. In this work, the authors propose an iterative image-domain decomposition method for noise suppression in DECT, using the full variance-covariance matrix of the decomposed images. Methods: The proposed algorithm is formulated in the form of least-square estimation with smoothness regularization. Based on the design principles of a best linear unbiased estimator, the authors include the inverse of the estimated variance-covariance matrix of the decomposed images as the penalty weight in the least-square term. The regularization term enforces the image smoothness by calculating the square sum of neighboring pixel value differences. To retain the boundary sharpness of the decomposed images, the authors detect the edges in the CT images before decomposition. These edge pixels have small weights in the calculation of the regularization term. Distinct from the existing denoising algorithms applied on the images before or after decomposition, the method has an iterative process for noise suppression, with decomposition performed in each iteration. The authors implement the proposed algorithm using a standard conjugate gradient algorithm. The method performance is evaluated using an evaluation phantom (Catphan600) and an anthropomorphic head phantom. The results are compared with those generated using direct matrix inversion with no noise suppression, a denoising method applied on the decomposed images, and an existing algorithm with similar formulation as the proposed method but with an edge-preserving regularization term. Results: On the Catphan phantom, the method maintains the same spatial resolution on the decomposed images as that of the CT images before decomposition (8 pairs/cm) while significantly reducing their noise standard deviation. Compared to that obtained by the direct matrix inversion, the noise standard deviation in the images decomposed by the proposed algorithm is reduced by over 98%. Without considering the noise correlation properties in the formulation, the denoising scheme degrades the spatial resolution to 6 pairs/cm for the same level of noise suppression. Compared to the edge-preserving algorithm, the method achieves better low-contrast detectability. A quantitative study is performed on the contrast-rod slice of Catphan phantom. The proposed method achieves lower electron density measurement error as compared to that by the direct matrix inversion, and significantly reduces the error variation by over 97%. On the head phantom, the method reduces the noise standard deviation of decomposed images by over 97% without blurring the sinus structures. Conclusions: The authors propose an iterative image-domain decomposition method for DECT. The method combines noise suppression and material decomposition into an iterative process and achieves both goals simultaneously. By exploring the full variance-covariance properties of the decomposed images and utilizing the edge predetection, the proposed algorithm shows superior performance on noise suppression with high image spatial resolution and low-contrast detectability.

  14. DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Danbury, CT, that scored HERS 35 without PV. This 2-story, 1,650-ft2 cabin built by a custom home builder for his own family meets Passive House...

  15. Frequency and patterns of abnormality detected by iodine-123 amine emission CT after cerebral infarction

    SciTech Connect (OSTI)

    Brott, T.G.; Gelfand, M.J.; Williams, C.C.; Spilker, J.A.; Hertzberg, V.S.

    1986-03-01

    Single photon emission computed tomography (SPECT) was performed in 31 patients with cerebral infarction and 13 who had had transient ischemic attacks, using iodine-123-labeled N,N,N'-trimethyl-N'-(2-hydroxyl-3-methyl-5-iodobenzyl)-1,3-propanediamin e (I-123-HIPDM) as the radiopharmaceutical. SPECT scans were compared with computed tomographic (CT) scans. SPECT was as sensitive as CT in detecting cerebral infarction (94% vs. 84%). The abnormalities were larger on the SPECT scans than on the CT scans in 19 cases, equal in seven, and smaller in five (SPECT abnormalities greater than or equal to CT abnormalities in 86% of cases). Fifteen of 30 patients with hemispheric infarction had decreased perfusion (decreased uptake of I-123-HIPDM) to the cerebellar hemisphere contralateral to the cerebral hemisphere involved by the infarction (crossed cerebellar diaschisis). Nine of these 15 patients had major motor deficits, while only one of the 15 without crossed cerebellar diaschisis had a major motor deficit.

  16. Low-Dose Spiral CT Scans for Early Lung Cancer Detection

    Broader source: Energy.gov [DOE]

    Low-dose spiral computed tomography (CT) scanning is a noninvasive medical imaging test that has been used for the early detection of lung cancer for over 16 years (Sone et al. 1998; Henschke et.al. 1999).

  17. TH-E-17A-01: Internal Respiratory Surrogate for 4D CT Using Fourier...

    Office of Scientific and Technical Information (OSTI)

    E-17A-01: Internal Respiratory Surrogate for 4D CT Using Fourier Transform and Anatomical Features Citation Details In-Document Search Title: TH-E-17A-01: Internal Respiratory...

  18. High energy x-ray phase contrast CT using glancing-angle grating interferometers

    SciTech Connect (OSTI)

    Sarapata, A.; Stayman, J. W.; Siewerdsen, J. H.; Finkenthal, M.; Stutman, D.; Pfeiffer, F.

    2014-02-15

    Purpose: The authors present initial progress toward a clinically compatible x-ray phase contrast CT system, using glancing-angle x-ray grating interferometry to provide high contrast soft tissue images at estimated by computer simulation dose levels comparable to conventional absorption based CT. Methods: DPC-CT scans of a joint phantom and of soft tissues were performed in order to answer several important questions from a clinical setup point of view. A comparison between high and low fringe visibility systems is presented. The standard phase stepping method was compared with sliding window interlaced scanning. Using estimated dose values obtained with a Monte-Carlo code the authors studied the dependence of the phase image contrast on exposure time and dose. Results: Using a glancing angle interferometer at high x-ray energy (∼45 keV mean value) in combination with a conventional x-ray tube the authors achieved fringe visibility values of nearly 50%, never reported before. High fringe visibility is shown to be an indispensable parameter for a potential clinical scanner. Sliding window interlaced scanning proved to have higher SNRs and CNRs in a region of interest and to also be a crucial part of a low dose CT system. DPC-CT images of a soft tissue phantom at exposures in the range typical for absorption based CT of musculoskeletal extremities were obtained. Assuming a human knee as the CT target, good soft tissue phase contrast could be obtained at an estimated absorbed dose level around 8 mGy, similar to conventional CT. Conclusions: DPC-CT with glancing-angle interferometers provides improved soft tissue contrast over absorption CT even at clinically compatible dose levels (estimated by a Monte-Carlo computer simulation). Further steps in image processing, data reconstruction, and spectral matching could make the technique fully clinically compatible. Nevertheless, due to its increased scan time and complexity the technique should be thought of not as replacing, but as complimentary to conventional CT, to be used in specific applications.

  19. Objective assessment of image quality and dose reduction in CT iterative reconstruction

    SciTech Connect (OSTI)

    Vaishnav, J. Y. Jung, W. C.; Popescu, L. M.; Zeng, R.; Myers, K. J.

    2014-07-15

    Purpose: Iterative reconstruction (IR) algorithms have the potential to reduce radiation dose in CT diagnostic imaging. As these algorithms become available on the market, a standardizable method of quantifying the dose reduction that a particular IR method can achieve would be valuable. Such a method would assist manufacturers in making promotional claims about dose reduction, buyers in comparing different devices, physicists in independently validating the claims, and the United States Food and Drug Administration in regulating the labeling of CT devices. However, the nonlinear nature of commercially available IR algorithms poses challenges to objectively assessing image quality, a necessary step in establishing the amount of dose reduction that a given IR algorithm can achieve without compromising that image quality. This review paper seeks to consolidate information relevant to objectively assessing the quality of CT IR images, and thereby measuring the level of dose reduction that a given IR algorithm can achieve. Methods: The authors discuss task-based methods for assessing the quality of CT IR images and evaluating dose reduction. Results: The authors explain and review recent literature on signal detection and localization tasks in CT IR image quality assessment, the design of an appropriate phantom for these tasks, possible choices of observers (including human and model observers), and methods of evaluating observer performance. Conclusions: Standardizing the measurement of dose reduction is a problem of broad interest to the CT community and to public health. A necessary step in the process is the objective assessment of CT image quality, for which various task-based methods may be suitable. This paper attempts to consolidate recent literature that is relevant to the development and implementation of task-based methods for the assessment of CT IR image quality.

  20. The effects of mapping CT images to Monte Carlo materials on GEANT4 proton simulation accuracy

    SciTech Connect (OSTI)

    Barnes, Samuel; McAuley, Grant; Slater, James; Wroe, Andrew

    2013-04-15

    Purpose: Monte Carlo simulations of radiation therapy require conversion from Hounsfield units (HU) in CT images to an exact tissue composition and density. The number of discrete densities (or density bins) used in this mapping affects the simulation accuracy, execution time, and memory usage in GEANT4 and other Monte Carlo code. The relationship between the number of density bins and CT noise was examined in general for all simulations that use HU conversion to density. Additionally, the effect of this on simulation accuracy was examined for proton radiation. Methods: Relative uncertainty from CT noise was compared with uncertainty from density binning to determine an upper limit on the number of density bins required in the presence of CT noise. Error propagation analysis was also performed on continuously slowing down approximation range calculations to determine the proton range uncertainty caused by density binning. These results were verified with Monte Carlo simulations. Results: In the presence of even modest CT noise (5 HU or 0.5%) 450 density bins were found to only cause a 5% increase in the density uncertainty (i.e., 95% of density uncertainty from CT noise, 5% from binning). Larger numbers of density bins are not required as CT noise will prevent increased density accuracy; this applies across all types of Monte Carlo simulations. Examining uncertainty in proton range, only 127 density bins are required for a proton range error of <0.1 mm in most tissue and <0.5 mm in low density tissue (e.g., lung). Conclusions: By considering CT noise and actual range uncertainty, the number of required density bins can be restricted to a very modest 127 depending on the application. Reducing the number of density bins provides large memory and execution time savings in GEANT4 and other Monte Carlo packages.

  1. Semi-automatic delineation using weighted CT-MRI registered images for

    Office of Scientific and Technical Information (OSTI)

    radiotherapy of nasopharyngeal cancer (Journal Article) | SciTech Connect Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer Citation Details In-Document Search Title: Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer Purpose: To develop a delineation tool that refines physician-drawn contours of the gross tumor volume (GTV) in nasopharynx cancer, using combined pixel value

  2. Connecticut Municipal Electric Energy Cooperative | Open Energy...

    Open Energy Info (EERE)

    NPCC Yes ISO NE Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it....

  3. CONNECTICUT CHALLENGES TOWNS TO REDUCE ENERGY USE

    Broader source: Energy.gov [DOE]

    With both the household use and cost of electricity increasing and an abundance of older homes, Connecticut’s market was ripe for residential energy efficiency upgrades. Through a two-year pilot...

  4. Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    MWh Coal Power 2,453,497 MWh Gas Power 9,678,195 MWh Petroleum Power 288,349 MWh Nuclear Power 16,657,387 MWh Other 712,522 MWh Total Energy Production 31,172,260 MWh...

  5. Workplace Charging Challenge Partner: Eastern Connecticut State...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Eastern was among the first 50 higher education institutions to commit to carbon ... Motivation for the challenge comes from its projected benefits: a full transition from ...

  6. Connecticut Municipal Electric Energy Cooperative Smart Grid...

    Open Energy Info (EERE)

    System Customer Systems for 3,000 Customers Home Area Networks Customer Web Portal In-Home DisplaysEnergy Management Systems Programmable Communicating Thermostats Direct Load...

  7. Geothermal Switch Pays Off For Connecticut Business

    Broader source: Energy.gov [DOE]

    Faced with the lagging interest in water wells, Anthony and founder Tony Mahan decided to change the direction of the company and began focusing on geothermal energy.

  8. Darien, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    FE Clean Energy Group References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  9. Bethel, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Apollo Solar Energy Inc References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  10. Connecticut's 4th congressional district: Energy Resources |...

    Open Energy Info (EERE)

    Inc formerly Solar Works Inc Clean Diesel Technologies Clean Diesel Technologies Inc International Plasma Sales Group IPSG Levco Energy MissionPoint Capital Partners Natural...

  11. Energy Incentive Programs, Connecticut | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... These customers are paid for cleared reductions in the market and are expected to ... state, and local permitting limits operation to actual or imminent loss of external power. ...

  12. Connecticut Light & Power Co | Open Energy Information

    Open Energy Info (EERE)

    56,845.785 316,477.296 100,488 5,482.981 32,672.55 3,389 219,627.211 1,137,141.772 1,132,833 2009-02 173,849.326 881,765.122 1,023,687 61,841.633 334,033.47 105,212 6,602.679...

  13. Connecticut's Health Impact Study Rapidly Increasing Weatherization...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... The projects will study the impact of asthma-related and fall-prevention measures on the process of delivering weatherization services. Recognizing the potential success of the ...

  14. Connecticut Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    1 0 0 0 0 0 1967-2014 Synthetic 1980-2005 Propane-Air 1 1980-2009

  15. Connecticut Underground Natural Gas Storage - All Operators

    U.S. Energy Information Administration (EIA) Indexed Site

    1994 1995 1996 View History Net Withdrawals 0 0 1973-1996 Injections 0 0 0 1973-1996 Withdrawals 0 0 0 1973-1996...

  16. Connecticut Natural Gas Consumption by End Use

    U.S. Energy Information Administration (EIA) Indexed Site

    199,426 230,036 229,156 234,475 235,205 1997-2014 Pipeline & Distribution Use 6,739 6,302 4,747 4,381 4,698 1997-2014 Volumes Delivered to Consumers 192,687 223,734 224,409 230,094 230,507 250,527 1997-2015 Residential 42,729 44,719 41,050 46,802 51,193 51,857 1967-2015 Commercial 40,656 44,832 42,346 46,418 51,221 53,378 1967-2015 Industrial 24,117 26,258 26,932 29,965 28,371 25,943 1997-2015 Vehicle Fuel 41 27 27 46 54 44 1988-2015 Electric Power 85,144 107,897 114,054 106,863 99,668

  17. Connecticut Natural Gas Consumption by End Use

    U.S. Energy Information Administration (EIA) Indexed Site

    27,870 20,353 15,426 14,745 16,786 17,440 2001-2015 Residential 8,998 4,902 2,172 1,368 1,120 997 1989-2015 Commercial 7,504 4,556 2,676 2,295 2,379 2,512 1989-2015 Industrial...

  18. Connecticut Number of Natural Gas Consumers

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    489,349 490,185 494,970 504,138 513,492 522,658 1986-2014 Sales 489,380 494,065 503,241 512,110 521,460 1997-2014 Transported 805 905 897 1,382 1,198 1997-2014 Commercial Number of...

  19. Connecticut Natural Gas Residential Consumption (Million Cubic...

    U.S. Energy Information Administration (EIA) Indexed Site

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 26,177 26,437 29,048 1970's 31,187 31,878 32,879 30,261 33,417 32,143 32,310 31,069 31,800...

  20. Connecticut Heat Content of Natural Gas Consumed

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    2009 2010 2011 2012 2013 2014 View History Delivered to Consumers 1,019 1,022 1,026 1,031 1,030 1,020 2007-2014...

  1. Connecticut Heat Content of Natural Gas Consumed

    Gasoline and Diesel Fuel Update (EIA)

    Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 View History Delivered to Consumers 1,029 1,026 1,049 1,027 1,027 1,026 2013-2015...

  2. Connecticut Natural Gas Industrial Consumption (Million Cubic...

    U.S. Energy Information Administration (EIA) Indexed Site

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 34,554 32,498 32,039 2000's 32,162 25,622 29,051 23,553 20,529 20,469 21,670 22,794 22,539...

  3. Fairfield County, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Sales Group IPSG Levco Energy MissionPoint Capital Partners Natural State Research, Inc. New England Energy Management Inc Noble Americas NuPower LLC Ocenergy Opel International...

  4. PEPCO Energy Services (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    Phone Number: 1-877-737-2662 Website: www.pepco.com Twitter: @PepcoConnect Facebook: https:www.facebook.comPepcoConnect Outage Hotline: 1-877-737-2662 References: EIA...

  5. Terramuggus, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    lse,"poi":true,"imageoverlays":,"markercluster":false,"searchmarkers":"","locations":"text":"","title":"","link":null,"lat":41.6350991,"lon":-72.4703638,"alt":0,"address":"","i...

  6. Connecticut Clean Cities Future Fuels Project

    Broader source: Energy.gov [DOE]

    2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  7. Connecticut Clean Cities Future Fuels Project

    Broader source: Energy.gov [DOE]

    2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

  8. Connecticut Clean Cities Future Fuels Project

    Broader source: Energy.gov [DOE]

    2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

  9. Determination of CT number and density profile of binderless, pre-treated and tannin-based Rhizophora spp. particleboards using computed tomography imaging and electron density phantom

    SciTech Connect (OSTI)

    Yusof, Mohd Fahmi Mohd Hamid, Puteri Nor Khatijah Abdul; Tajuddin, Abdul Aziz; Bauk, Sabar; Hashim, Rokiah

    2015-04-29

    Plug density phantoms were constructed in accordance to CT density phantom model 062M CIRS using binderless, pre-treated and tannin-based Rhizophora Spp. particleboards. The Rhizophora Spp. plug phantoms were scanned along with the CT density phantom using Siemens Somatom Definition AS CT scanner at three CT energies of 80, 120 and 140 kVp. 15 slices of images with 1.0?mm thickness each were taken from the central axis of CT density phantom for CT number and CT density profile analysis. The values were compared to water substitute plug phantom from the CT density phantom. The tannin-based Rhizophora Spp. gave the nearest value of CT number to water substitute at 80 and 120 kVp CT energies with ?{sup 2} value of 0.011 and 0.014 respectively while the binderless Rhizphora Spp. gave the nearest CT number to water substitute at 140 kVp CT energy with ?{sup 2} value of 0.023. The tannin-based Rhizophora Spp. gave the nearest CT density profile to water substitute at all CT energies. This study indicated the suitability of Rhizophora Spp. particleboard as phantom material for the use in CT imaging studies.

  10. MO-E-17A-03: Monte Carlo CT Dose Calculation: A Comparison Between Experiment and Simulation Using ARCHER-CT

    SciTech Connect (OSTI)

    Liu, T; Du, X; Su, L; Gao, Y; Ji, W; Xu, X; Zhang, D; Shi, J; Liu, B; Kalra, M

    2014-06-15

    Purpose: To compare the CT doses derived from the experiments and GPU-based Monte Carlo (MC) simulations, using a human cadaver and ATOM phantom. Methods: The cadaver of an 88-year old male and the ATOM phantom were scanned by a GE LightSpeed Pro 16 MDCT. For the cadaver study, the Thimble chambers (Model 105?0.6CT and 106?0.6CT) were used to measure the absorbed dose in different deep and superficial organs. Whole-body scans were first performed to construct a complete image database for MC simulations. Abdomen/pelvis helical scans were then conducted using 120/100 kVps, 300 mAs and a pitch factor of 1.375:1. For the ATOM phantom study, the OSL dosimeters were used and helical scans were performed using 120 kVp and x, y, z tube current modulation (TCM). For the MC simulations, sufficient particles were run in both cases such that the statistical errors of the results by ARCHER-CT were limited to 1%. Results: For the human cadaver scan, the doses to the stomach, liver, colon, left kidney, pancreas and urinary bladder were compared. The difference between experiments and simulations was within 19% for the 120 kVp and 25% for the 100 kVp. For the ATOM phantom scan, the doses to the lung, thyroid, esophagus, heart, stomach, liver, spleen, kidneys and thymus were compared. The difference was 39.2% for the esophagus, and within 16% for all other organs. Conclusion: In this study the experimental and simulated CT doses were compared. Their difference is primarily attributed to the systematic errors of the MC simulations, including the accuracy of the bowtie filter modeling, and the algorithm to generate voxelized phantom from DICOM images. The experimental error is considered small and may arise from the dosimeters. R01 grant (R01EB015478) from National Institute of Biomedical Imaging and Bioengineering.

  11. Bowtie filters for dedicated breast CT: Theory and computational implementation

    SciTech Connect (OSTI)

    Kontson, Kimberly Jennings, Robert J.

    2015-03-15

    Purpose: To design bowtie filters with improved properties for dedicated breast CT to improve image quality and reduce dose to the patient. Methods: The authors present three different bowtie filters designed for a cylindrical 14-cm diameter phantom with a uniform composition of 40/60 breast tissue, which vary in their design objectives and performance improvements. Bowtie design #1 is based on single material spectral matching and produces nearly uniform spectral shape for radiation incident upon the detector. Bowtie design #2 uses the idea of basis material decomposition to produce the same spectral shape and intensity at the detector, using two different materials. Bowtie design #3 eliminates the beam hardening effect in the reconstructed image by adjusting the bowtie filter thickness so that the effective attenuation coefficient for every ray is the same. All three designs are obtained using analytical computational methods and linear attenuation coefficients. Thus, the designs do not take into account the effects of scatter. The authors considered this to be a reasonable approach to the filter design problem since the use of Monte Carlo methods would have been computationally intensive. The filter profiles for a cone-angle of 0° were used for the entire length of each filter because the differences between those profiles and the correct cone-beam profiles for the cone angles in our system are very small, and the constant profiles allowed construction of the filters with the facilities available to us. For evaluation of the filters, we used Monte Carlo simulation techniques and the full cone-beam geometry. Images were generated with and without each bowtie filter to analyze the effect on dose distribution, noise uniformity, and contrast-to-noise ratio (CNR) homogeneity. Line profiles through the reconstructed images generated from the simulated projection images were also used as validation for the filter designs. Results: Examples of the three designs are presented. Initial verification of performance of the designs was done using analytical computations of HVL, intensity, and effective attenuation coefficient behind the phantom as a function of fan-angle with a cone-angle of 0°. The performance of the designs depends only weakly on incident spectrum and tissue composition. For all designs, the dynamic range requirement on the detector was reduced compared to the no-bowtie-filter case. Further verification of the filter designs was achieved through analysis of reconstructed images from simulations. Simulation data also showed that the use of our bowtie filters can reduce peripheral dose to the breast by 61% and provide uniform noise and CNR distributions. The bowtie filter design concepts validated in this work were then used to create a computational realization of a 3D anthropomorphic bowtie filter capable of achieving a constant effective attenuation coefficient behind the entire field-of-view of an anthropomorphic breast phantom. Conclusions: Three different bowtie filter designs that vary in performance improvements were described and evaluated using computational and simulation techniques. Results indicate that the designs are robust against variations in breast diameter, breast composition, and tube voltage, and that the use of these filters can reduce patient dose and improve image quality compared to the no-bowtie-filter case.

  12. DOE - Office of Legacy Management -- Pratt and Whitney Corp Canel Facility

    Office of Legacy Management (LM)

    - CT 04 Pratt and Whitney Corp Canel Facility - CT 04 FUSRAP Considered Sites Site: PRATT AND WHITNEY CORP., CANEL FACILITY (CT.04) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Middletown , Connecticut CT.04-1 Evaluation Year: 1994 CT.04-2 Site Operations: High temperature materials research and reactor experimentation in the 1960s. CT.04-3 Site Disposition: Eliminated - No Authority - NRC licensed - Remediation activities

  13. Technical Note: Measurement of bow tie profiles in CT scanners using radiochromic film

    SciTech Connect (OSTI)

    Whiting, Bruce R.; Dohatcu, Andreea C.; Evans, Joshua D.; Williamson, Jeffrey F.; Politte, David G.

    2015-06-15

    Purpose: To provide a noninvasive technique to measure the intensity profile of the fan beam in a computed tomography (CT) scanner that is cost effective and easily implemented without the need to access proprietary scanner information or service modes. Methods: The fabrication of an inexpensive aperture is described, which is used to expose radiochromic film in a rotating CT gantry. A series of exposures is made, each of which is digitized on a personal computer document scanner, and the resulting data set is analyzed to produce a self-consistent calibration of relative radiation exposure. The bow tie profiles were analyzed to determine the precision of the process and were compared to two other measurement techniques, direct measurements from CT gantry detectors and a dynamic dosimeter. Results: The radiochromic film method presented here can measure radiation exposures with a precision of ?6% root-mean-square relative error. The intensity profiles have a maximum 25% root-mean-square relative error compared with existing techniques. Conclusions: The proposed radiochromic film method for measuring bow tie profiles is an inexpensive (?$100 USD + film costs), noninvasive method to measure the fan beam intensity profile in CT scanners.

  14. DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Derby, CT, that achieves a HERS score of 45 without PV or HERS 26 with PV. The production home is one of a development of 7 two-story, 4,000+-ft2...

  15. The feasibility of head motion tracking in helical CT: A step toward motion correction

    SciTech Connect (OSTI)

    Kim, Jung-Ha; Nuyts, Johan; Kuncic, Zdenka; Fulton, Roger

    2013-04-15

    Purpose: To establish a practical and accurate motion tracking method for the development of rigid motion correction methods in helical x-ray computed tomography (CT). Methods: A commercially available optical motion tracking system provided 6 degrees of freedom pose measurements at 60 Hz. A 4 Multiplication-Sign 4 calibration matrix was determined to convert raw pose data acquired in tracker coordinates to a fixed CT coordinate system with origin at the isocenter of the scanner. Two calibration methods, absolute orientation (AO), and a new method based on image registration (IR), were compared by means of landmark analysis and correlation coefficient in phantom images coregistered using the derived motion transformations. Results: Transformations calculated using the IR-derived calibration matrix were found to be more accurate, with positional errors less than 0.5 mm (mean RMS), and highly correlated image voxel intensities. The AO-derived calibration matrix yielded larger mean RMS positional errors ( Asymptotically-Equal-To 1.0 mm), and poorer correlation coefficients. Conclusions: The authors have demonstrated the feasibility of accurate motion tracking for retrospective motion correction in helical CT. Their new IR-based calibration method based on image registration and function minimization was simpler to perform and delivered more accurate calibration matrices. This technique is a useful tool for future work on rigid motion correction in helical CT and potentially also other imaging modalities.

  16. TU-F-18C-07: Hardware Advances for MTF Improvement in Dedicated Breast CT

    SciTech Connect (OSTI)

    Gazi, P; Burkett, G; Yang, K; Boone, J

    2014-06-15

    Purpose: In this study, we have designed and implemented a prototype dedicated breast CT system (bCT) to improve the spatial resolution characteristics, in order to improve detection of micro-calcifications. Methods: A 10.8 kW water-cooled, tungsten anode x-ray tube, running up to 240 mA at 60 kV, coupled with an x-ray generator specifically designed for this application, and 0.3 mm of added copper filter was used to generate x-ray pulses. A CsI CMOS flat panel detector with a pixel pitch of 0.075 mm in native binning mode was used. The system geometry was designed in a way to achieve an FOV on par with similar bCT prototypes, resulting in a magnification factor of 1.39. A 0.013 mm tungsten wire was used to generate point spread functions. Multiple scans were performed with different numbers of projections, different reconstruction kernel sizes and different reconstruction filters to study the effects of each parameter on MTF. The resulting MTFs were then evaluated quantitatively using the generated PFSs. Duplicate scans with the same parameters were performed on two other dedicated breast CT systems to compare the performance of the new prototype. Results: The results of the MTF experiments demonstrate a significant improvement in the spatial resolution characteristics. In the new prototype, using the pulsed x-ray source results in a restoration of the azimuthal MTF degradation, due to motion blurring previously seen in other bCT systems. Moreover, employing the higher resolution x-ray detector considerably improves the MTF. The MTF at 10% of the new system is at 3.5 1/mm, a factor of 4.36 greater than an earlier bCT scanner. Conclusion: The MTF analysis of the new prototype bCT shows that using the new hardware and control results in a significant improvement in visualization of finer detail. This suggests that the visualization of micro-calcifications will be significantly improved.

  17. SU-E-I-58: Detecting Tumors with Extremely Low Contrast in CT Images

    SciTech Connect (OSTI)

    Sheng, K; Gou, S; Kupelian, P; Steiberg, M; Low, D

    2014-06-01

    Purpose: Tumors such as the prostate focal lesions and the brain metastases have extremely low CT contrast and MRI is usually used for target delineation. The target contours are propagated to the CT for treatment planning and patient positioning. We have employed an advanced denoising method eliminating the noise and allow magnification of subtle contrast of these focal lesions on CT. Methods: Five prostate and two brain metastasis patients with MRI T2, diffusion or dynamic contrast enhanced (DCE) images confirmed focal lesions were included. One brain patients had 5 metastases. A block matching 3D (BM3D) algorithm was adapted to reduce the noise of kVCT images used for treatment planning. The gray-level range of the resultant images was narrowed to magnify the tumor-normal tissue contrast. Results: For the prostate patients, denoised kVCT images showed focal regions at 5, 8,11-1, 2, and 8–10 oclock for the 5 patients, this is highly consistent to the radiologist confirmed focal lesions based on MRI at 5, 7, 11-1, 2 and 8–10 oclock in the axial plane. These CT focal regions matched well with the MRI focal lesions in the cranio-caudal position. The average increase in density compared to background prostate glands was 0.86%, which corresponds to ∼50% increase in cellularity and is lower than the average CT noise level of 2.4%. For the brain patients, denoised kVCT showed 5/6 metastases. The high CT-density region of a metastasis is 2-mm off from its corresponding elevated MRI perfusion center. Overall the detecting sensitivity was 91%. Conclusion: It has been preliminarily demonstrated that the higher tumor cellularity can be detected using kVCT. The low contrast-to-noise information requires advanced denoising to reveal. The finding is significant to radiotherapy by providing an additional tool to locate focal lesions for confirming MRI-CT registration and providing a highly accessible outcome assessment tool.

  18. Statistical model based iterative reconstruction (MBIR) in clinical CT systems: Experimental assessment of noise performance

    SciTech Connect (OSTI)

    Li, Ke; Tang, Jie; Chen, Guang-Hong

    2014-04-15

    Purpose: To reduce radiation dose in CT imaging, the statistical model based iterative reconstruction (MBIR) method has been introduced for clinical use. Based on the principle of MBIR and its nonlinear nature, the noise performance of MBIR is expected to be different from that of the well-understood filtered backprojection (FBP) reconstruction method. The purpose of this work is to experimentally assess the unique noise characteristics of MBIR using a state-of-the-art clinical CT system. Methods: Three physical phantoms, including a water cylinder and two pediatric head phantoms, were scanned in axial scanning mode using a 64-slice CT scanner (Discovery CT750 HD, GE Healthcare, Waukesha, WI) at seven different mAs levels (5, 12.5, 25, 50, 100, 200, 300). At each mAs level, each phantom was repeatedly scanned 50 times to generate an image ensemble for noise analysis. Both the FBP method with a standard kernel and the MBIR method (Veo{sup }, GE Healthcare, Waukesha, WI) were used for CT image reconstruction. Three-dimensional (3D) noise power spectrum (NPS), two-dimensional (2D) NPS, and zero-dimensional NPS (noise variance) were assessed both globally and locally. Noise magnitude, noise spatial correlation, noise spatial uniformity and their dose dependence were examined for the two reconstruction methods. Results: (1) At each dose level and at each frequency, the magnitude of the NPS of MBIR was smaller than that of FBP. (2) While the shape of the NPS of FBP was dose-independent, the shape of the NPS of MBIR was strongly dose-dependent; lower dose lead to a redder NPS with a lower mean frequency value. (3) The noise standard deviation (?) of MBIR and dose were found to be related through a power law of ????(dose){sup ??} with the component ? ? 0.25, which violated the classical ????(dose){sup ?0.5} power law in FBP. (4) With MBIR, noise reduction was most prominent for thin image slices. (5) MBIR lead to better noise spatial uniformity when compared with FBP. (6) A composite image generated from two MBIR images acquired at two different dose levels (D1 and D2) demonstrated lower noise than that of an image acquired at a dose level of D1+D2. Conclusions: The noise characteristics of the MBIR method are significantly different from those of the FBP method. The well known tradeoff relationship between CT image noise and radiation dose has been modified by MBIR to establish a more gradual dependence of noise on dose. Additionally, some other CT noise properties that had been well understood based on the linear system theory have also been altered by MBIR. Clinical CT scan protocols that had been optimized based on the classical CT noise properties need to be carefully re-evaluated for systems equipped with MBIR in order to maximize the method's potential clinical benefits in dose reduction and/or in CT image quality improvement.

  19. General Electric | Open Energy Information

    Open Energy Info (EERE)

    General Electric Place: Fairfield, Connecticut Zip: 06828 Region: Northeast - NY NJ CT PA Area Year Founded: 1892 Website: www.ge.com Coordinates: 41.1758333, -73.2719444...

  20. Apricus Solar | Open Energy Information

    Open Energy Info (EERE)

    West Main Street Place: Branford, Connecticut Zip: 06405 Region: Northeast - NY NJ CT PA Area Product: Solar hot water Phone Number: 203 488 8215 Website: www.apricus.com...

  1. Asia West LLC | Open Energy Information

    Open Energy Info (EERE)

    West LLC Jump to: navigation, search Logo: Asia West LLC Name: Asia West LLC Address: One East Weaver Street Place: Greenwich, Connecticut Zip: 06831 Region: Northeast - NY NJ CT...

  2. United Illuminating | Open Energy Information

    Open Energy Info (EERE)

    St Place: New Haven, Connecticut Zip: 06510 Region: Northeast - NY NJ CT PA Area Sector: Services Product: Green Power Marketer Website: www.uinet.com Coordinates: 41.3073289,...

  3. Correlation between human observer performance and model observer performance in differential phase contrast CT

    SciTech Connect (OSTI)

    Li, Ke; Garrett, John; Chen, Guang-Hong

    2013-11-15

    Purpose: With the recently expanding interest and developments in x-ray differential phase contrast CT (DPC-CT), the evaluation of its task-specific detection performance and comparison with the corresponding absorption CT under a given radiation dose constraint become increasingly important. Mathematical model observers are often used to quantify the performance of imaging systems, but their correlations with actual human observers need to be confirmed for each new imaging method. This work is an investigation of the effects of stochastic DPC-CT noise on the correlation of detection performance between model and human observers with signal-known-exactly (SKE) detection tasks.Methods: The detectabilities of different objects (five disks with different diameters and two breast lesion masses) embedded in an experimental DPC-CT noise background were assessed using both model and human observers. The detectability of the disk and lesion signals was then measured using five types of model observers including the prewhitening ideal observer, the nonprewhitening (NPW) observer, the nonprewhitening observer with eye filter and internal noise (NPWEi), the prewhitening observer with eye filter and internal noise (PWEi), and the channelized Hotelling observer (CHO). The same objects were also evaluated by four human observers using the two-alternative forced choice method. The results from the model observer experiment were quantitatively compared to the human observer results to assess the correlation between the two techniques.Results: The contrast-to-detail (CD) curve generated by the human observers for the disk-detection experiments shows that the required contrast to detect a disk is inversely proportional to the square root of the disk size. Based on the CD curves, the ideal and NPW observers tend to systematically overestimate the performance of the human observers. The NPWEi and PWEi observers did not predict human performance well either, as the slopes of their CD curves tended to be steeper. The CHO generated the best quantitative agreement with human observers with its CD curve overlapping with that of human observer. Statistical equivalence between CHO and humans can be claimed within 11% of the human observer results, including both the disk and lesion detection experiments.Conclusions: The model observer method can be used to accurately represent human observer performance with the stochastic DPC-CT noise for SKE tasks with sizes ranging from 8 to 128 pixels. The incorporation of the anatomical noise remains to be studied.

  4. Adaptive nonlocal means filtering based on local noise level for CT denoising

    SciTech Connect (OSTI)

    Li, Zhoubo; Trzasko, Joshua D.; Lake, David S.; Blezek, Daniel J.; Manduca, Armando; Yu, Lifeng; Fletcher, Joel G.; McCollough, Cynthia H.

    2014-01-15

    Purpose: To develop and evaluate an image-domain noise reduction method based on a modified nonlocal means (NLM) algorithm that is adaptive to local noise level of CT images and to implement this method in a time frame consistent with clinical workflow. Methods: A computationally efficient technique for local noise estimation directly from CT images was developed. A forward projection, based on a 2D fan-beam approximation, was used to generate the projection data, with a noise model incorporating the effects of the bowtie filter and automatic exposure control. The noise propagation from projection data to images was analytically derived. The analytical noise map was validated using repeated scans of a phantom. A 3D NLM denoising algorithm was modified to adapt its denoising strength locally based on this noise map. The performance of this adaptive NLM filter was evaluated in phantom studies in terms of in-plane and cross-plane high-contrast spatial resolution, noise power spectrum (NPS), subjective low-contrast spatial resolution using the American College of Radiology (ACR) accreditation phantom, and objective low-contrast spatial resolution using a channelized Hotelling model observer (CHO). Graphical processing units (GPU) implementation of this noise map calculation and the adaptive NLM filtering were developed to meet demands of clinical workflow. Adaptive NLM was piloted on lower dose scans in clinical practice. Results: The local noise level estimation matches the noise distribution determined from multiple repetitive scans of a phantom, demonstrated by small variations in the ratio map between the analytical noise map and the one calculated from repeated scans. The phantom studies demonstrated that the adaptive NLM filter can reduce noise substantially without degrading the high-contrast spatial resolution, as illustrated by modulation transfer function and slice sensitivity profile results. The NPS results show that adaptive NLM denoising preserves the shape and peak frequency of the noise power spectrum better than commercial smoothing kernels, and indicate that the spatial resolution at low contrast levels is not significantly degraded. Both the subjective evaluation using the ACR phantom and the objective evaluation on a low-contrast detection task using a CHO model observer demonstrate an improvement on low-contrast performance. The GPU implementation can process and transfer 300 slice images within 5 min. On patient data, the adaptive NLM algorithm provides more effective denoising of CT data throughout a volume than standard NLM, and may allow significant lowering of radiation dose. After a two week pilot study of lower dose CT urography and CT enterography exams, both GI and GU radiology groups elected to proceed with permanent implementation of adaptive NLM in their GI and GU CT practices. Conclusions: This work describes and validates a computationally efficient technique for noise map estimation directly from CT images, and an adaptive NLM filtering based on this noise map, on phantom and patient data. Both the noise map calculation and the adaptive NLM filtering can be performed in times that allow integration with clinical workflow. The adaptive NLM algorithm provides effective denoising of CT data throughout a volume, and may allow significant lowering of radiation dose.

  5. Cholecystokinin-Assisted Hydrodissection of the Gallbladder Fossa during FDG PET/CT-guided Liver Ablation

    SciTech Connect (OSTI)

    Tewari, Sanjit O.; Petre, Elena N.; Osborne, Joseph; Sofocleous, Constantinos T.

    2013-12-15

    A 68-year-old female with colorectal cancer developed a metachronous isolated fluorodeoxyglucose-avid (FDG-avid) segment 5/6 gallbladder fossa hepatic lesion and was referred for percutaneous ablation. Pre-procedure computed tomography (CT) images demonstrated a distended gallbladder abutting the segment 5/6 hepatic metastasis. In order to perform ablation with clear margins and avoid direct puncture and aspiration of the gallbladder, cholecystokinin was administered intravenously to stimulate gallbladder contraction before hydrodissection. Subsequently, the lesion was ablated successfully with sufficient margins, of greater than 1.0 cm, using microwave with ultrasound and FDG PET/CT guidance. The patient tolerated the procedure very well and was discharged home the next day.

  6. SU-E-P-03: Implementing a Low Dose Lung Screening CT Program Meeting Regulatory Requirements

    SciTech Connect (OSTI)

    LaFrance, M; Marsh, S; O'Donnell, G

    2014-06-01

    Purpose: To provide information pertaining to IROC Houston QA Center's (RPC) credentialing process for institutions participating in NCI-sponsored clinical trials. Purpose: Provide guidance to the Radiology Departments with the intent of implementing a Low Dose CT Screening Program using different CT Scanners with multiple techniques within the framework of the required state regulations. Method: State Requirements for the purpose of implementing a Low Dose CT Lung Protocol required working with the Radiology and Pulmonary Department in setting up a Low Dose Screening Protocol designed to reduce the radiation burden to the patients enrolled. Radiation dose measurements (CTDIvol) for various CT manufacturers (Siemens16, Siemens 64, Philips 64, and Neusoft128) for three different weight based protocols. All scans were reviewed by the Radiologist. Prior to starting a low dose lung screening protocol, information had to be submitted to the state for approval. Performing a Healing Arts protocol requires extensive information. This not only includes name and address of the applicant but a detailed description of the disease, the x-ray examination and the population to be examined. The unit had to be tested by a qualified expert using the technique charts. The credentials of all the operators, the supervisors and the Radiologists had to be submitted to the state. Results: All the appropriate documentation was sent to the state for review. The measured results between the Low Dose Protocol versus the default Adult Chest Protocol showed that there was a dose reduction of 65% for small (100-150 lb.) patient, 75% for the Medium patient (151-250 lbs.), and a 55% reduction for the Large patient ( over 250 lbs.). Conclusion: Measured results indicated that the Low Dose Protocol indeed lowered the screening patient's radiation dose and the institution was able to submit the protocol to the State's regulators.

  7. SU-E-I-43: Pediatric CT Dose and Image Quality Optimization

    SciTech Connect (OSTI)

    Stevens, G; Singh, R

    2014-06-01

    Purpose: To design an approach to optimize radiation dose and image quality for pediatric CT imaging, and to evaluate expected performance. Methods: A methodology was designed to quantify relative image quality as a function of CT image acquisition parameters. Image contrast and image noise were used to indicate expected conspicuity of objects, and a wide-cone system was used to minimize scan time for motion avoidance. A decision framework was designed to select acquisition parameters as a weighted combination of image quality and dose. Phantom tests were used to acquire images at multiple techniques to demonstrate expected contrast, noise and dose. Anthropomorphic phantoms with contrast inserts were imaged on a 160mm CT system with tube voltage capabilities as low as 70kVp. Previously acquired clinical images were used in conjunction with simulation tools to emulate images at different tube voltages and currents to assess human observer preferences. Results: Examination of image contrast, noise, dose and tube/generator capabilities indicates a clinical task and object-size dependent optimization. Phantom experiments confirm that system modeling can be used to achieve the desired image quality and noise performance. Observer studies indicate that clinical utilization of this optimization requires a modified approach to achieve the desired performance. Conclusion: This work indicates the potential to optimize radiation dose and image quality for pediatric CT imaging. In addition, the methodology can be used in an automated parameter selection feature that can suggest techniques given a limited number of user inputs. G Stevens and R Singh are employees of GE Healthcare.

  8. Dose reconstruction for real-time patient-specific dose estimation in CT

    SciTech Connect (OSTI)

    De Man, Bruno Yin, Zhye; Wu, Mingye; FitzGerald, Paul; Kalra, Mannudeep

    2015-05-15

    Purpose: Many recent computed tomography (CT) dose reduction approaches belong to one of three categories: statistical reconstruction algorithms, efficient x-ray detectors, and optimized CT acquisition schemes with precise control over the x-ray distribution. The latter category could greatly benefit from fast and accurate methods for dose estimation, which would enable real-time patient-specific protocol optimization. Methods: The authors present a new method for volumetrically reconstructing absorbed dose on a per-voxel basis, directly from the actual CT images. The authors’ specific implementation combines a distance-driven pencil-beam approach to model the first-order x-ray interactions with a set of Gaussian convolution kernels to model the higher-order x-ray interactions. The authors performed a number of 3D simulation experiments comparing the proposed method to a Monte Carlo based ground truth. Results: The authors’ results indicate that the proposed approach offers a good trade-off between accuracy and computational efficiency. The images show a good qualitative correspondence to Monte Carlo estimates. Preliminary quantitative results show errors below 10%, except in bone regions, where the authors see a bigger model mismatch. The computational complexity is similar to that of a low-resolution filtered-backprojection algorithm. Conclusions: The authors present a method for analytic dose reconstruction in CT, similar to the techniques used in radiation therapy planning with megavoltage energies. Future work will include refinements of the proposed method to improve the accuracy as well as a more extensive validation study. The proposed method is not intended to replace methods that track individual x-ray photons, but the authors expect that it may prove useful in applications where real-time patient-specific dose estimation is required.

  9. DOE Zero Ready Home Case Study: Brookside Development, Singer Village, Derby, CT

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Brookside Development Singer Village Derby, CT DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed

  10. STATE OF OHIO, IN THE UNITED STATES DISTRICT FOR THE .SOUTHERN DIS~CT OF

    Energy Savers [EERE]

    .. .. /_ .......... - " -( / ./ .. ... ' . .. STATE OF OHIO, IN THE UNITED STATES DISTRICT FOR THE .SOUTHERN DIS~CT OF EASTERN DIVISION Plaintiff, ) ) } ) ) ) ) civil Action . v. N°'C2-89- UNITED STATES DEPARTMENT OF ) ENERGY, DIVESTED ATO~C ) JUD(~" :. '-.... :..... Judge CORPORATION, et.al, : ) ) 732 ~-:. './I~' _ . * 0dU lJi -------------De-:tendan-ts-.-----),-'-.. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ----' --------~'.-~-~.----------------------) JOINT MOtTES': FOB ENTRY Qf .

  11. HIA 2015 DOE Zero Energy Ready Home Case Study: Glastonbury Housesmith, Hickory Drive, South Glastonbury, CT

    Energy Savers [EERE]

    Glastonbury Housesmith Hickory Drive South Glastonbury, CT DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies

  12. CT-Guided Interventions Using a Free-Hand, Optical Tracking System: Initial Clinical Experience

    SciTech Connect (OSTI)

    Schubert, Tilman Jacob, Augustinus L.; Pansini, Michele; Liu, David; Gutzeit, Andreas; Kos, Sebastian

    2013-08-01

    PurposeThe present study was designed to evaluate the geometrical accuracy and clinical applicability of a new, free-hand, CT-guided, optical navigation system.MethodsFifteen procedures in 14 consecutive patients were retrospectively analyzed. The navigation system was applied for interventional procedures on small target lesions, in cases with long needle paths, narrow access windows, or when an out-of-plane access was expected. Mean lesion volume was 27.9 ml, and mean distance to target measured was 107.5 mm. Eleven of 15 needle trajectories were planned as out-of-plane approaches regarding the axial CT plane.ResultsNinety-one percent of the biopsies were diagnostic. All therapeutic interventions were technically successful. Targeting precision was high with a mean distance of the needle tip from planned target of 1.98 mm. Mean intervention time was 1:12 h. A statistically significant correlation between angular needle deviation and intervention time (p = 0.007), respiratory movement of the target (p = 0.008), and body mass index (p = 0.02) was detected. None of the evaluated parameters correlated significantly with the distance from the needle tip to the planned target.ConclusionsThe application of a navigation system for complex CT-guided procedures provided safe and effective targeting within a reasonable intervention time in our series.

  13. Material Science Image Analysis using Quant-CT in ImageJ

    SciTech Connect (OSTI)

    Ushizima, Daniela M.; Bianchi, Andrea G. C.; DeBianchi, Christina; Bethel, E. Wes

    2015-01-05

    We introduce a computational analysis workflow to access properties of solid objects using nondestructive imaging techniques that rely on X-ray imaging. The goal is to process and quantify structures from material science sample cross sections. The algorithms can differentiate the porous media (high density material) from the void (background, low density media) using a Boolean classifier, so that we can extract features, such as volume, surface area, granularity spectrum, porosity, among others. Our workflow, Quant-CT, leverages several algorithms from ImageJ, such as statistical region merging and 3D object counter. It also includes schemes for bilateral filtering that use a 3D kernel, for parallel processing of sub-stacks, and for handling over-segmentation using histogram similarities. The Quant-CT supports fast user interaction, providing the ability for the user to train the algorithm via subsamples to feed its core algorithms with automated parameterization. Quant-CT plugin is currently available for testing by personnel at the Advanced Light Source and Earth Sciences Divisions and Energy Frontier Research Center (EFRC), LBNL, as part of their research on porous materials. The goal is to understand the processes in fluid-rock systems for the geologic sequestration of CO2, and to develop technology for the safe storage of CO2 in deep subsurface rock formations. We describe our implementation, and demonstrate our plugin on porous material images. This paper targets end-users, with relevant information for developers to extend its current capabilities.

  14. Quality assurance for image-guided radiation therapy utilizing CT-based technologies: A report of the AAPM TG-179

    SciTech Connect (OSTI)

    Bissonnette, Jean-Pierre; Balter, Peter A.; Dong Lei; Langen, Katja M.; Lovelock, D. Michael; Miften, Moyed; Moseley, Douglas J.; Pouliot, Jean; Sonke, Jan-Jakob; Yoo, Sua

    2012-04-15

    Purpose: Commercial CT-based image-guided radiotherapy (IGRT) systems allow widespread management of geometric variations in patient setup and internal organ motion. This document provides consensus recommendations for quality assurance protocols that ensure patient safety and patient treatment fidelity for such systems. Methods: The AAPM TG-179 reviews clinical implementation and quality assurance aspects for commercially available CT-based IGRT, each with their unique capabilities and underlying physics. The systems described are kilovolt and megavolt cone-beam CT, fan-beam MVCT, and CT-on-rails. A summary of the literature describing current clinical usage is also provided. Results: This report proposes a generic quality assurance program for CT-based IGRT systems in an effort to provide a vendor-independent program for clinical users. Published data from long-term, repeated quality control tests form the basis of the proposed test frequencies and tolerances.Conclusion: A program for quality control of CT-based image-guidance systems has been produced, with focus on geometry, image quality, image dose, system operation, and safety. Agreement and clarification with respect to reports from the AAPM TG-101, TG-104, TG-142, and TG-148 has been addressed.

  15. The effects of gantry tilt on breast dose and image noise in cardiac CT

    SciTech Connect (OSTI)

    Hoppe, Michael E.; Gandhi, Diksha; Schmidt, Taly Gilat; Stevens, Grant M.; Foley, W. Dennis

    2013-12-15

    Purpose: This study investigated the effects of tilted-gantry acquisition on image noise and glandular breast dose in females during cardiac computed tomography (CT) scans. Reducing the dose to glandular breast tissue is important due to its high radiosensitivity and limited diagnostic significance in cardiac CT scans.Methods: Tilted-gantry acquisition was investigated through computer simulations and experimental measurements. Upon IRB approval, eight voxelized phantoms were constructed from previously acquired cardiac CT datasets. Monte Carlo simulations quantified the dose deposited in glandular breast tissue over a range of tilt angles. The effects of tilted-gantry acquisition on breast dose were measured on a clinical CT scanner (CT750HD, GE Healthcare) using an anthropomorphic phantom with MOSFET dosimeters in the breast regions. In both simulations and experiments, scans were performed at gantry tilt angles of 0°–30°, in 5° increments. The percent change in breast dose was calculated relative to the nontilted scan for all tilt angles. The percent change in noise standard deviation due to gantry tilt was calculated in all reconstructed simulated and experimental images.Results: Tilting the gantry reduced the breast dose in all simulated and experimental phantoms, with generally greater dose reduction at increased gantry tilts. For example, at 30° gantry tilt, the dosimeters located in the superior, middle, and inferior breast regions measured dose reductions of 74%, 61%, and 9%, respectively. The simulations estimated 0%–30% total breast dose reduction across the eight phantoms and range of tilt angles. However, tilted-gantry acquisition also increased the noise standard deviation in the simulated phantoms by 2%–50% due to increased pathlength through the iodine-filled heart. The experimental phantom, which did not contain iodine in the blood, demonstrated decreased breast dose and decreased noise at all gantry tilt angles.Conclusions: Tilting the gantry reduced the dose to the breast, while also increasing noise standard deviation. Overall, the noise increase outweighed the dose reduction for the eight voxelized phantoms, suggesting that tilted gantry acquisition may not be beneficial for reducing breast dose while maintaining image quality.

  16. Radiation dose reduction in medical x-ray CT via Fourier-based iterative reconstruction

    SciTech Connect (OSTI)

    Fahimian, Benjamin P.; Zhao Yunzhe; Huang Zhifeng; Fung, Russell; Zhu Chun; Miao Jianwei; Mao Yu; Khatonabadi, Maryam; DeMarco, John J.; McNitt-Gray, Michael F.; Osher, Stanley J.

    2013-03-15

    Purpose: A Fourier-based iterative reconstruction technique, termed Equally Sloped Tomography (EST), is developed in conjunction with advanced mathematical regularization to investigate radiation dose reduction in x-ray CT. The method is experimentally implemented on fan-beam CT and evaluated as a function of imaging dose on a series of image quality phantoms and anonymous pediatric patient data sets. Numerical simulation experiments are also performed to explore the extension of EST to helical cone-beam geometry. Methods: EST is a Fourier based iterative algorithm, which iterates back and forth between real and Fourier space utilizing the algebraically exact pseudopolar fast Fourier transform (PPFFT). In each iteration, physical constraints and mathematical regularization are applied in real space, while the measured data are enforced in Fourier space. The algorithm is automatically terminated when a proposed termination criterion is met. Experimentally, fan-beam projections were acquired by the Siemens z-flying focal spot technology, and subsequently interleaved and rebinned to a pseudopolar grid. Image quality phantoms were scanned at systematically varied mAs settings, reconstructed by EST and conventional reconstruction methods such as filtered back projection (FBP), and quantified using metrics including resolution, signal-to-noise ratios (SNRs), and contrast-to-noise ratios (CNRs). Pediatric data sets were reconstructed at their original acquisition settings and additionally simulated to lower dose settings for comparison and evaluation of the potential for radiation dose reduction. Numerical experiments were conducted to quantify EST and other iterative methods in terms of image quality and computation time. The extension of EST to helical cone-beam CT was implemented by using the advanced single-slice rebinning (ASSR) method. Results: Based on the phantom and pediatric patient fan-beam CT data, it is demonstrated that EST reconstructions with the lowest scanner flux setting of 39 mAs produce comparable image quality, resolution, and contrast relative to FBP with the 140 mAs flux setting. Compared to the algebraic reconstruction technique and the expectation maximization statistical reconstruction algorithm, a significant reduction in computation time is achieved with EST. Finally, numerical experiments on helical cone-beam CT data suggest that the combination of EST and ASSR produces reconstructions with higher image quality and lower noise than the Feldkamp Davis and Kress (FDK) method and the conventional ASSR approach. Conclusions: A Fourier-based iterative method has been applied to the reconstruction of fan-bean CT data with reduced x-ray fluence. This method incorporates advantageous features in both real and Fourier space iterative schemes: using a fast and algebraically exact method to calculate forward projection, enforcing the measured data in Fourier space, and applying physical constraints and flexible regularization in real space. Our results suggest that EST can be utilized for radiation dose reduction in x-ray CT via the readily implementable technique of lowering mAs settings. Numerical experiments further indicate that EST requires less computation time than several other iterative algorithms and can, in principle, be extended to helical cone-beam geometry in combination with the ASSR method.

  17. MO-PIS-Exhibit Hall-01: Imaging: CT Dose Optimization Technologies I

    SciTech Connect (OSTI)

    Denison, K; Smith, S

    2014-06-15

    Partners in Solutions is an exciting new program in which AAPM partners with our vendors to present practical hands-on information about the equipment and software systems that we use in our clinics. The imaging topic this year is CT scanner dose optimization capabilities. Note that the sessions are being held in a special purpose room built on the Exhibit Hall Floor, to encourage further interaction with the vendors. Dose Optimization Capabilities of GE Computed Tomography Scanners Presentation Time: 11:15 11:45 AM GE Healthcare is dedicated to the delivery of high quality clinical images through the development of technologies, which optimize the application of ionizing radiation. In computed tomography, dose management solutions fall into four categories: employs projection data and statistical modeling to decrease noise in the reconstructed image - creating an opportunity for mA reduction in the acquisition of diagnostic images. Veo represents true Model Based Iterative Reconstruction (MBiR). Using high-level algorithms in tandem with advanced computing power, Veo enables lower pixel noise standard deviation and improved spatial resolution within a single image. Advanced Adaptive Image Filters allow for maintenance of spatial resolution while reducing image noise. Examples of adaptive image space filters include Neuro 3-D filters and Cardiac Noise Reduction Filters. AutomA adjusts mA along the z-axis and is the CT equivalent of auto exposure control in conventional x-ray systems. Dynamic Z-axis Tracking offers an additional opportunity for dose reduction in helical acquisitions while SmartTrack Z-axis Tracking serves to ensure beam, collimator and detector alignment during tube rotation. SmartmA provides angular mA modulation. ECG Helical Modulation reduces mA during the systolic phase of the heart cycle. SmartBeam optimization uses bowtie beam-shaping hardware and software to filter off-axis x-rays - minimizing dose and reducing x-ray scatter. The DICOM Radiation Dose Structured Report (RDSR) generates a dose report at the conclusion of every examination. Dose Check preemptively notifies CT operators when scan parameters exceed user-defined dose thresholds. DoseWatch is an information technology application providing vendor-agnostic dose tracking and analysis for CT (and all other diagnostic x-ray modalities) SnapShot Pulse improves coronary CTA dose management. VolumeShuttle uses two acquisitions to increase coverage, decrease dose, and conserve on contrast administration. Color-Coding for Kids applies the Broselow-Luten Pediatric System to facilitate pediatric emergency care and reduce medical errors. FeatherLight achieves dose optimization through pediatric procedure-based protocols. Adventure Series scanners provide a child-friendly imaging environment promoting patient cooperation with resultant reduction in retakes and patient motion. Philips CT Dose Optimization Tools and Advanced Reconstruction Presentation Time: 11:45 12:15 PM The first part of the talk will cover Dose Reduction and Dose Optimization Technologies present in Philips CT Scanners. The main Technologies to be presented include: DoseRight and tube current modulation (DoseRight, Z-DOM, 3D-DOM, DoseRight Cardiac) Special acquisition modes Beam filtration and beam shapers Eclipse collimator and ClearRay collimator NanoPanel detector DoseRight will cover automatic tube current selection that automatically adjusts the dose for the individual patient. The presentation will explore the modulation techniques currently employed in Philips CT scanners and will include the algorithmic concepts as well as illustrative examples. Modulation and current selection technologies to be covered include the Automatic Current Selection component of DoseRight, ZDOM longitudinal dose modulation, 3D-DOM (combination of longitudinal and rotational dose modulation), Cardiac Dose right (an ECG based dose modulation scheme), and the DoseRight Index (DRI) IQ index. The special acquisition modes covers acquisition techniques such as prospective gating that

  18. Development of a dynamic quality assurance testing protocol for multisite clinical trial DCE-CT accreditation

    SciTech Connect (OSTI)

    Driscoll, B.; Keller, H.; Jaffray, D.; Coolens, C.; Department of Radiation Oncology, University of Toronto, 150 College Street, Toronto, Ontario M5S 3E2; Techna Institute, University Health Network, 124-100 College Street, Toronto, Ontario M5G 1L5

    2013-08-15

    Purpose: Credentialing can have an impact on whether or not a clinical trial produces useful quality data that is comparable between various institutions and scanners. With the recent increase of dynamic contrast enhanced-computed tomography (DCE-CT) usage as a companion biomarker in clinical trials, effective quality assurance, and control methods are required to ensure there is minimal deviation in the results between different scanners and protocols at various institutions. This paper attempts to address this problem by utilizing a dynamic flow imaging phantom to develop and evaluate a DCE-CT quality assurance (QA) protocol.Methods: A previously designed flow phantom, capable of producing predictable and reproducible time concentration curves from contrast injection was fully validated and then utilized to design a DCE-CT QA protocol. The QA protocol involved a set of quantitative metrics including injected and total mass error, as well as goodness of fit comparison to the known truth concentration curves. An additional region of interest (ROI) sensitivity analysis was also developed to provide additional details on intrascanner variability and determine appropriate ROI sizes for quantitative analysis. Both the QA protocol and ROI sensitivity analysis were utilized to test variations in DCE-CT results using different imaging parameters (tube voltage and current) as well as alternate reconstruction methods and imaging techniques. The developed QA protocol and ROI sensitivity analysis was then applied at three institutions that were part of clinical trial involving DCE-CT and results were compared.Results: The inherent specificity of robustness of the phantom was determined through calculation of the total intraday variability and determined to be less than 2.2 1.1% (total calculated output contrast mass error) with a goodness of fit (R{sup 2}) of greater than 0.99 0.0035 (n= 10). The DCE-CT QA protocol was capable of detecting significant deviations from the expected phantom result when scanning at low mAs and low kVp in terms of quantitative metrics (Injected Mass Error 15.4%), goodness of fit (R{sup 2}) of 0.91, and ROI sensitivity (increase in minimum input function ROI radius by 146 86%). These tests also confirmed that the ASIR reconstruction process was beneficial in reducing noise without substantially increasing partial volume effects and that vendor specific modes (e.g., axial shuttle) did not significantly affect the phantom results. The phantom and QA protocol were finally able to quickly (<90 min) and successfully validate the DCE-CT imaging protocol utilized at the three separate institutions of a multicenter clinical trial; thereby enhancing the confidence in the patient data collected.Conclusions: A DCE QA protocol was developed that, in combination with a dynamic multimodality flow phantom, allows the intrascanner variability to be separated from other sources of variability such as the impact of injection protocol and ROI selection. This provides a valuable resource that can be utilized at various clinical trial institutions to test conformance with imaging protocols and accuracy requirements as well as ensure that the scanners are performing as expected for dynamic scans.

  19. Radiation-induced refraction artifacts in the optical CT readout of polymer gel dosimeters

    SciTech Connect (OSTI)

    Campbell, Warren G.; Jirasek, Andrew; Wells, Derek M.

    2014-11-01

    Purpose: The objective of this work is to demonstrate imaging artifacts that can occur during the optical computed tomography (CT) scanning of polymer gel dosimeters due to radiation-induced refractive index (RI) changes in polyacrylamide gels. Methods: A 1 L cylindrical polyacrylamide gel dosimeter was irradiated with 3 3 cm{sup 2} square beams of 6 MV photons. A prototype fan-beam optical CT scanner was used to image the dosimeter. Investigative optical CT scans were performed to examine two types of rayline bending: (i) bending within the plane of the fan-beam and (ii) bending out the plane of the fan-beam. To address structured errors, an iterative SavitzkyGolay (ISG) filtering routine was designed to filter 2D projections in sinogram space. For comparison, 2D projections were alternatively filtered using an adaptive-mean (AM) filter. Results: In-plane rayline bending was most notably observed in optical CT projections where rays of the fan-beam confronted a sustained dose gradient that was perpendicular to their trajectory but within the fan-beam plane. These errors caused distinct streaking artifacts in image reconstructions due to the refraction of higher intensity rays toward more opaque regions of the dosimeter. Out-of-plane rayline bending was observed in slices of the dosimeter that featured dose gradients perpendicular to the plane of the fan-beam. These errors caused widespread, severe overestimations of dose in image reconstructions due to the higher-than-actual opacity that is perceived by the scanner when light is bent off of the detector array. The ISG filtering routine outperformed AM filtering for both in-plane and out-of-plane rayline errors caused by radiation-induced RI changes. For in-plane rayline errors, streaks in an irradiated region (>7 Gy) were as high as 49% for unfiltered data, 14% for AM, and 6% for ISG. For out-of-plane rayline errors, overestimations of dose in a low-dose region (?50 cGy) were as high as 13 Gy for unfiltered data, 10 Gy for AM, and 3.1 Gy for ISG. The ISG routine also addressed unrelated artifacts that previously needed to be manually removed in sinogram space. However, the ISG routine blurred reconstructions, causing losses in spatial resolution of ?5 mm in the plane of the fan-beam and ?8 mm perpendicular to the fan-beam. Conclusions: This paper reveals a new category of imaging artifacts that can affect the optical CT readout of polyacrylamide gel dosimeters. Investigative scans show that radiation-induced RI changes can cause significant rayline errors when rays confront a prolonged dose gradient that runs perpendicular to their trajectory. In fan-beam optical CT, these errors manifested in two ways: (1) distinct streaking artifacts caused by in-plane rayline bending and (2) severe overestimations of opacity caused by rays bending out of the fan-beam plane and missing the detector array. Although the ISG filtering routine mitigated these errors better than an adaptive-mean filtering routine, it caused unacceptable losses in spatial resolution.

  20. On two-parameter models of photon cross sections: Application to dual-energy CT imaging

    SciTech Connect (OSTI)

    Williamson, Jeffrey F.; Li Sicong; Devic, Slobodan; Whiting, Bruce R.; Lerma, Fritz A.

    2006-11-15

    The goal of this study is to evaluate the theoretically achievable accuracy in estimating photon cross sections at low energies (20-1000 keV) from idealized dual-energy x-ray computed tomography (CT) images. Cross-section estimation from dual-energy measurements requires a model that can accurately represent photon cross sections of any biological material as a function of energy by specifying only two characteristic parameters of the underlying material, e.g., effective atomic number and density. This paper evaluates the accuracy of two commonly used two-parameter cross-section models for postprocessing idealized measurements derived from dual-energy CT images. The parametric fit model (PFM) accounts for electron-binding effects and photoelectric absorption by power functions in atomic number and energy and scattering by the Klein-Nishina cross section. The basis-vector model (BVM) assumes that attenuation coefficients of any biological substance can be approximated by a linear combination of mass attenuation coefficients of two dissimilar basis substances. Both PFM and BVM were fit to a modern cross-section library for a range of elements and mixtures representative of naturally occurring biological materials (Z=2-20). The PFM model, in conjunction with the effective atomic number approximation, yields estimated the total linear cross-section estimates with mean absolute and maximum error ranges of 0.6%-2.2% and 1%-6%, respectively. The corresponding error ranges for BVM estimates were 0.02%-0.15% and 0.1%-0.5%. However, for photoelectric absorption frequency, the PFM absolute mean and maximum errors were 10.8%-22.4% and 29%-50%, compared with corresponding BVM errors of 0.4%-11.3% and 0.5%-17.0%, respectively. Both models were found to exhibit similar sensitivities to image-intensity measurement uncertainties. Of the two models, BVM is the most promising approach for realizing dual-energy CT cross-section measurement.

  1. Measurement of bow tie profiles in CT scanners using a real-time dosimeter

    SciTech Connect (OSTI)

    Whiting, Bruce R.; Evans, Joshua D.; Williamson, Jeffrey F.; Dohatcu, Andreea C.; Politte, David G.

    2014-10-15

    Purpose: Several areas of computed tomography (CT) research require knowledge about the intensity profile of the x-ray fan beam that is introduced by a bow tie filter. This information is considered proprietary by CT manufacturers, so noninvasive measurement methods are required. One method using real-time dosimeters has been proposed in the literature. A commercially available dosimeter was used to apply that method, and analysis techniques were developed to extract fan beam profiles from measurements. Methods: A real-time ion chamber was placed near the periphery of an empty CT gantry and the dose rate versus time waveform was recorded as the x-ray source rotated about the isocenter. In contrast to previously proposed analysis methods that assumed a pointlike detector, the finite-size ion chamber received varying amounts of coverage by the collimated x-ray beam during rotation, precluding a simple relationship between the source intensity as a function of fan beam angle and measured intensity. A two-parameter model for measurement intensity was developed that included both effective collimation width and source-to-detector distance, which then was iteratively solved to minimize the error between duplicate measurements at corresponding fan beam angles, allowing determination of the fan beam profile from measured dose-rate waveforms. Measurements were performed on five different scanner systems while varying parameters such as collimation, kVp, and bow tie filters. On one system, direct measurements of the bow tie profile were collected for comparison with the real-time dosimeter technique. Results: The data analysis method for a finite-size detector was found to produce a fan beam profile estimate with a relative error between duplicate measurement intensities of <5%. It was robust over a wide range of collimation widths (e.g., 1–40 mm), producing fan beam profiles that agreed with a relative error of 1%–5%. Comparison with a direct measurement technique on one system produced agreement with a relative error of 2%–6%. Fan beam profiles were found to differ for different filter types on a given system and between different vendors. Conclusions: A commercially available real-time dosimeter probe was found to be a convenient and accurate instrument for measuring fan beam profiles. An analysis method was developed that could handle a wide range of collimation widths by explicitly considering the finite width of the ion chamber. Relative errors in the profiles were found to be less than 5%. Measurements of five different clinical scanners demonstrate the variation in bow tie designs, indicating that generic bow tie models will not be adequate for CT system research.

  2. Implementation and commissioning of an integrated micro-CT/RT system with computerized independent jaw collimation

    SciTech Connect (OSTI)

    Jensen, Michael D.; Hrinivich, W. Thomas; Jung, Jongho A.; Holdsworth, David W.; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K7; Department of Surgery, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K7 ; Drangova, Maria; Chen, Jeff; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K7; Department of Oncology, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K7 ; Wong, Eugene; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K7; Department of Oncology, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K7; Department of Physics and Engineering, London Regional Cancer Program, London Health Sciences Centre, 800 Commissioners Road East, London, Ontario N6A 5W9

    2013-08-15

    Purpose: To design, construct, and commission a set of computer-controlled motorized jaws for a micro-CT/RT system to perform conformal image-guided small animal radiotherapy.Methods: The authors designed and evaluated a system of custom-built motorized orthogonal jaws, which allows the delivery of off-axis rectangular fields on a GE eXplore CT 120 preclinical imaging system. The jaws in the x direction are independently driven, while the y-direction jaws are symmetric. All motors have backup encoders, verifying jaw positions. Mechanical performance of the jaws was characterized. Square beam profiles ranging from 2 2 to 60 60 mm{sup 2} were measured using EBT2 film in the center of a 70 70 22 mm{sup 3} solid water block. Similarly, absolute depth dose was measured in a solid water and EBT2 film stack 50 50 50 mm{sup 3}. A calibrated Farmer ion chamber in a 70 70 20 mm{sup 3} solid water block was used to measure the output of three field sizes: 50 50, 40 40, and 30 30 mm{sup 2}. Elliptical target plans were delivered to films to assess overall system performance. Respiratory-gated treatment was implemented on the system and initially proved using a simple sinusoidal motion phantom. All films were scanned on a flatbed scanner (Epson 1000XL) and converted to dose using a fitted calibration curve. A Monte Carlo beam model of the micro-CT with the jaws has been created using BEAMnrc for comparison with the measurements. An example image-guided partial lung irradiation in a rat is demonstrated.Results: The averaged random error of positioning each jaw is less than 0.1 mm. Relative output factors measured with the ion chamber agree with Monte Carlo simulations within 2%. Beam profiles and absolute depth dose curves measured from the films agree with simulations within measurement uncertainty. Respiratory-gated treatments applied to a phantom moving with a peak-to-peak amplitude of 5 mm showed improved beam penumbra (80%20%) from 3.9 to 0.8 mm.Conclusions: A set of computer-controlled motorized jaws for a micro-CT/RT system were constructed with position reliably better than a tenth of a millimeter. The hardware system is ready for image-guided conformal radiotherapy for small animals with capability of respiratory-gated delivery.

  3. Model-based PSF and MTF estimation and validation from skeletal clinical CT images

    SciTech Connect (OSTI)

    Pakdel, Amirreza; Mainprize, James G.; Robert, Normand; Fialkov, Jeffery; Whyne, Cari M.

    2014-01-15

    Purpose: A method was developed to correct for systematic errors in estimating the thickness of thin bones due to image blurring in CT images using bone interfaces to estimate the point-spread-function (PSF). This study validates the accuracy of the PSFs estimated using said method from various clinical CT images featuring cortical bones. Methods: Gaussian PSFs, characterized by a different extent in the z (scan) direction than in the x and y directions were obtained using our method from 11 clinical CT scans of a cadaveric craniofacial skeleton. These PSFs were estimated for multiple combinations of scanning parameters and reconstruction methods. The actual PSF for each scan setting was measured using the slanted-slit technique within the image slice plane and the longitudinal axis. The Gaussian PSF and the corresponding modulation transfer function (MTF) are compared against the actual PSF and MTF for validation. Results: The differences (errors) between the actual and estimated full-width half-max (FWHM) of the PSFs were 0.09 0.05 and 0.14 0.11 mm for the xy and z axes, respectively. The overall errors in the predicted frequencies measured at 75%, 50%, 25%, 10%, and 5% MTF levels were 0.06 0.07 and 0.06 0.04 cycles/mm for the xy and z axes, respectively. The accuracy of the estimates was dependent on whether they were reconstructed with a standard kernel (Toshiba's FC68, mean error of 0.06 0.05 mm, MTF mean error 0.02 0.02 cycles/mm) or a high resolution bone kernel (Toshiba's FC81, PSF FWHM error 0.12 0.03 mm, MTF mean error 0.09 0.08 cycles/mm). Conclusions: The method is accurate in 3D for an image reconstructed using a standard reconstruction kernel, which conforms to the Gaussian PSF assumption but less accurate when using a high resolution bone kernel. The method is a practical and self-contained means of estimating the PSF in clinical CT images featuring cortical bones, without the need phantoms or any prior knowledge about the scanner-specific parameters.

  4. DOE Zero Energy Ready Home Case Study: Preferred Builders, Old Greenwich, CT, Custom

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready Home in Old Greenwich, CT, that scored HERS 42 without PV or HERS 20 with PV. This 2,700-square-foot custom home has advanced framed walls with R-24 blown cellulose plus R-7.5 EPS rigid foam, membrane-coated OSB, a closed-cell spray foamed attic, R-13 closed-cell spray foam under the slab and on basement walls, an ERV, and a gas boiler for forced air and radiant floor heat.

  5. DOE Zero Energy Ready Home Case Study 2013: BPC Green Builders, New Fairfield, CT

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    BPC Green Builders New Fairfi eld, CT BUILDING TECHNOLOGIES OFFICE The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specifi ed in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Advanced technologies are designed in to give you

  6. HIA 2015 DOE Zero Energy Ready Home Case Study: BPC Green Builders, Taft School, Watertown, CT

    Energy Savers [EERE]

    Taft School Watertown, CT DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in to give you

  7. SU-E-T-99: Design and Development of Isocenter Parameter System for CT Simulation Laser Based On DICOM RT

    SciTech Connect (OSTI)

    Luo, G

    2014-06-01

    Purpose: In order to receive DICOM files from treatment planning system and generate patient isocenter positioning parameter file for CT laser system automatically, this paper presents a method for communication with treatment planning system and calculation of isocenter parameter for each radiation field. Methods: Coordinate transformation and laser positioning file formats were analyzed, isocenter parameter was calculated via data from DICOM CT Data and DICOM RTPLAN file. An in-house software-DicomGenie was developed based on the object-oriented program platform-Qt with DCMTK SDK (Germany OFFIS company DICOM SDK) . DicomGenie was tested for accuracy using Philips CT simulation plan system (Tumor LOC, Philips) and A2J CT positioning laser system (Thorigny Sur Marne, France). Results: DicomGenie successfully established DICOM communication between treatment planning system, DICOM files were received by DicomGenie and patient laser isocenter information was generated accurately. Patient laser parameter data files can be used for for CT laser system directly. Conclusion: In-house software DicomGenie received and extracted DICOM data, isocenter laser positioning data files were created by DicomGenie and can be use for A2J laser positioning system.

  8. Application of Fourier transform infrared spectroscopy to silica diagenesis: The opal-A to opal-CT transformation

    SciTech Connect (OSTI)

    Rice, S.B.; Freund, H.; Huang, W.L.; Clouse, J.A.; Isaacs, C.M.

    1995-10-02

    An important goal in silica diagenesis research is to understand the kinetics of opal transformation from noncrystalline opal-A to the disordered silica polymorph opal-CT. Because the conventional technique for monitoring the transformation, powder X-ray diffraction (XRD), is applicable only to phases with long-range order, the authors used Fourier transform infrared spectroscopy (FTIR) to monitor the transformation. They applied this technique, combined with XRD and TEM, to experimental run products and natural opals from the Monterey Formation and from siliceous deposits in the western Pacific Ocean. Using a ratio of two infrared absorption intensities ({omega} = I{sub 472 cm{sup {minus}1}}/I{sub 500 cm{sup {minus}1}}), the relative proportions of opal-A and opal-CT can be determined. The progress of the transformation is marked by changes in slope of {omega} vs. depth or time when a sufficient stratigraphic profile is available. There are three stages in the opal-A to opal-CT reaction: (1) opal-A dissolution; (2) opal-CT precipitation, whose end point is marked by completion of opal-A dissolution; and (3) opal-CT ordering, during which tridymite stacking is eliminated in favor of crystobalite stacking.

  9. SU-E-J-214: Comparative Assessment On IGRT On Partial Bladder Cancer Treatment Between CT-On-Rails (CTOR) and KV Cone Beam CT (CBCT)

    SciTech Connect (OSTI)

    Lin, T; Ma, C

    2014-06-01

    Purpose: Image-Guided radiation therapy(IGRT) depends on reliable online patient-specific anatomy information to address random and progressive anatomy changes. Large margins have been suggested to bladder cancer treatment due to large daily bladder anatomy variation. KV Cone beam CT(CBCT) has been used in IGRT localization prevalently; however, its lack of soft tissue contrast makes clinicians hesitate to perform daily soft tissue alignment with CBCT for partial bladder cancer treatment. This study compares the localization uncertainties of bladder cancer IGRT using CTon- Rails(CTOR) and CBCT. Methods: Three T2N0M0 bladder cancer patients (total of 66 Gy to partial bladder alone) were localized daily with either CTOR or CBCT for their entire treatment course. A total of 71 sets of CTOR and 22 sets of CBCT images were acquired and registered with original planning CT scans by radiation therapists and approved by radiation oncologists for the daily treatment. CTOR scanning entailed 2mm slice thickness, 0.98mm axial voxel size, 120kVp and 240mAs. CBCT used a half fan pelvis protocol from Varian OBI system with 2mm slice thickness, 0.98axial voxel size, 125kVp, and 680mAs. Daily localization distribution was compared. Accuracy of CTOR and CBCT on partial bladder alignment was also evaluated by comparing bladder PTV coverage. Results: 1cm all around PTV margins were used in every patient except target superior limit margin to 0mm due to bowel constraint. Daily shifts on CTOR averaged to 0.48, 0.24, 0.19 mms(SI,Lat,AP directions); CBCT averaged to 0.43, 0.09, 0.19 mms(SI,Lat,AP directions). The CTOR daily localization showed superior results of V100% of PTV(102% CTOR vs. 89% CBCT) and bowel(Dmax 69.5Gy vs. 78Gy CBCT). CTOR images showed much higher contrast on bladder PTV alignment. Conclusion: CTOR daily localization for IGRT is more dosimetrically beneficial for partial bladder cancer treatment than kV CBCT localization and provided better soft tissue PTV identification.

  10. Active investigation of material damage under load using micro-CT

    SciTech Connect (OSTI)

    Navalgund, Megha Mishra, Debasish; Manoharan, V.; Zunjarrao, Suraj

    2015-03-31

    Due the growth of composite materials across multiple industries such as Aviation, Wind there is an increasing need to not just standardize and improve manufacturing processes but also to design these materials for the specific applications. One of the things that this translates to is understanding how failure initiates and grows in these materials and at what loads, especially around internal flaws such as voids or features such as ply drops. Traditional methods of investigating internal damage such as CT lack the resolution to resolve ply level damage in composites. Interrupted testing with layer removal can be used to investigate internal damage using microscopy; however this is a destructive method. Advanced techniques such as such as DIC are useful for in-situ damage detection, however are limited to surface information and would not enable interrogating the volume. Computed tomography has become a state of the art technique for metrology and complete volumetric investigation especially for metallic components. However, its application to the composite world is still nascent. This paper demonstrates micro-CTs capability as a gauge to quantitatively estimate the extent of damage and understand the propagation of damage in PMC composites while the component is under stress.

  11. Percutaneous Extraction of Cement Leakage After Vertebroplasty Under CT and Fluoroscopy Guidance: A New Technique

    SciTech Connect (OSTI)

    Amoretti, Nicolas Huwart, Laurent

    2012-12-15

    Purpose: We report a new minimally invasive technique of extraction of cement leakage following percutaneous vertebroplasty in adults. Methods: Seven adult patients (five women, two men; mean age: 81 years) treated for vertebral compression fractures by percutaneous vertebroplasty had cement leakage into perivertebral soft tissues along the needle route. Immediately after vertebroplasty, the procedure of extraction was performed under computed tomography (CT) and fluoroscopy guidance: a Chiba needle was first inserted using the same route as the vertebroplasty until contact was obtained with the cement fragment. This needle was then used as a guide for an 11-gauge Trocar t'am (Thiebaud, France). After needle withdrawal, a 13-gauge endoscopy clamp was inserted through the cannula to extract the cement fragments. The whole procedure was performed under local anesthesia. Results: In each patient, all cement fragments were withdrawn within 10 min, without complication. Conclusions: This report suggests that this CT- and fluoroscopy-guided percutaneous technique of extraction could reduce the rate of cement leakage-related complications.

  12. SU-C-18A-05: Registration Accuracy of MR-Based Images to On-Board Megavoltage Cone-Beam CT for Brain Patient Setup

    SciTech Connect (OSTI)

    Pinnaduwage, D S; Chen, J; Descovich, M; Pouliot, J; Hwang, Ken-Ping

    2014-06-01

    Purpose: To quantify the difference in isocenter shifts when co-registering MR and MR-based pseudo CTs (pCT) with on-board megavoltage conebeam CT (CBCT) images. Methods: Fast Spoiled Gradient Echo MRs were used to generate pCTs (research version of Advantage Sim MD, GE Healthcare) for ten patients who had prior brain radiotherapy. The planning CT (rCT) for each was co-registered with the MR, and the plan isocenter and two other reference points were transferred to the MR and pCT. CBCT images (with the machine isocenter) from a single treatment day were coregistered with the 3 test images (MR, pCT and rCT), by two observers and by an automated registration algorithm. The reference points were used to calculate patient shifts and rotations from the registrations. The shifts calculated from the test image registrations were compared to each other and to the shifts performed by the therapists who treated the patients on that day. Results: The average difference in absolute value between the isocenter shifts from the MR-, pCT- and rCT-CBCT registrations, and the therapist shifts, were 2.02, 3.01 and 0.89 mm (craniocaudal), 1.14, 1.34 and 0.46 mm (lateral), and 1.37, 3.43 and 1.43 mm (vertical), respectively. The MR- and pCT-CBCT registrations differed by 1.99, and 2.53 mm (craniocaudal), 1.36, and 1.37 mm (lateral), and 0.74 and 2.34 mm (vertical), respectively, from the average rCT-CBCT shifts. On average, differences of 2.39 (craniocaudal), 1.28 (lateral) and 2.84 mm (vertical) were seen between the MR and pCT shifts. Rotations relative to the CBCT coordinate system were on average <2 for the MR and rCT, and <6 for the pCT. Conclusion: In this study, FSPGR MR-CBCT registrations were more precise compared to the pCT-CBCT registrations. For improved accuracy, MR sequences that are optimal for bony anatomy visualization are necessary. GE healthcare has provided a research version of Advantage Sim MD to UCSF. No financial support was provided.

  13. SU-E-I-25: Determining Tube Current, Tube Voltage and Pitch Suitable for Low- Dose Lung Screening CT

    SciTech Connect (OSTI)

    Williams, K; Matthews, K

    2014-06-01

    Purpose: The quality of a computed tomography (CT) image and the dose delivered during its acquisition depend upon the acquisition parameters used. Tube current, tube voltage, and pitch are acquisition parameters that potentially affect image quality and dose. This study investigated physicians' abilities to characterize small, solid nodules in low-dose CT images for combinations of current, voltage and pitch, for three CT scanner models. Methods: Lung CT images was acquired of a Data Spectrum anthropomorphic torso phantom with various combinations of pitch, tube current, and tube voltage; this phantom was used because acrylic beads of various sizes could be placed within the lung compartments to simulate nodules. The phantom was imaged on two 16-slice scanners and a 64-slice scanner. The acquisition parameters spanned a range of estimated CTDI levels; the CTDI estimates from the acquisition software were verified by measurement. Several experienced radiologists viewed the phantom lung CT images and noted nodule location, size and shape, as well as the acceptability of overall image quality. Results: Image quality for assessment of nodules was deemed unsatisfactory for all scanners at 80 kV (any tube current) and at 35 mA (any tube voltage). Tube current of 50 mA or more at 120 kV resulted in similar assessments from all three scanners. Physician-measured sphere diameters were closer to actual diameters for larger spheres, higher tube current, and higher kV. Pitch influenced size measurements less for larger spheres than for smaller spheres. CTDI was typically overestimated by the scanner software compared to measurement. Conclusion: Based on this survey of acquisition parameters, a low-dose CT protocol of 120 kV, 50 mA, and pitch of 1.4 is recommended to balance patient dose and acceptable image quality. For three models of scanners, this protocol resulted in estimated CTDIs from 2.93.6 mGy.

  14. Quantum noise properties of CT images with anatomical textured backgrounds across reconstruction algorithms: FBP and SAFIRE

    SciTech Connect (OSTI)

    Solomon, Justin; Samei, Ehsan

    2014-09-15

    Purpose: Quantum noise properties of CT images are generally assessed using simple geometric phantoms with uniform backgrounds. Such phantoms may be inadequate when assessing nonlinear reconstruction or postprocessing algorithms. The purpose of this study was to design anatomically informed textured phantoms and use the phantoms to assess quantum noise properties across two clinically available reconstruction algorithms, filtered back projection (FBP) and sinogram affirmed iterative reconstruction (SAFIRE). Methods: Two phantoms were designed to represent lung and soft-tissue textures. The lung phantom included intricate vessel-like structures along with embedded nodules (spherical, lobulated, and spiculated). The soft tissue phantom was designed based on a three-dimensional clustered lumpy background with included low-contrast lesions (spherical and anthropomorphic). The phantoms were built using rapid prototyping (3D printing) technology and, along with a uniform phantom of similar size, were imaged on a Siemens SOMATOM Definition Flash CT scanner and reconstructed with FBP and SAFIRE. Fifty repeated acquisitions were acquired for each background type and noise was assessed by estimating pixel-value statistics, such as standard deviation (i.e., noise magnitude), autocorrelation, and noise power spectrum. Noise stationarity was also assessed by examining the spatial distribution of noise magnitude. The noise properties were compared across background types and between the two reconstruction algorithms. Results: In FBP and SAFIRE images, noise was globally nonstationary for all phantoms. In FBP images of all phantoms, and in SAFIRE images of the uniform phantom, noise appeared to be locally stationary (within a reasonably small region of interest). Noise was locally nonstationary in SAFIRE images of the textured phantoms with edge pixels showing higher noise magnitude compared to pixels in more homogenous regions. For pixels in uniform regions, noise magnitude was reduced by an average of 60% in SAFIRE images compared to FBP. However, for edge pixels, noise magnitude ranged from 20% higher to 40% lower in SAFIRE images compared to FBP. SAFIRE images of the lung phantom exhibited distinct regions with varying noise texture (i.e., noise autocorrelation/power spectra). Conclusions: Quantum noise properties observed in uniform phantoms may not be representative of those in actual patients for nonlinear reconstruction algorithms. Anatomical texture should be considered when evaluating the performance of CT systems that use such nonlinear algorithms.

  15. A hybrid approach for rapid, accurate, and direct kilovoltage radiation dose calculations in CT voxel space

    SciTech Connect (OSTI)

    Kouznetsov, Alexei; Tambasco, Mauro

    2011-03-15

    Purpose: To develop and validate a fast and accurate method that uses computed tomography (CT) voxel data to estimate absorbed radiation dose at a point of interest (POI) or series of POIs from a kilovoltage (kV) imaging procedure. Methods: The authors developed an approach that computes absorbed radiation dose at a POI by numerically evaluating the linear Boltzmann transport equation (LBTE) using a combination of deterministic and Monte Carlo (MC) techniques. This hybrid approach accounts for material heterogeneity with a level of accuracy comparable to the general MC algorithms. Also, the dose at a POI is computed within seconds using the Intel Core i7 CPU 920 2.67 GHz quad core architecture, and the calculations are performed using CT voxel data, making it flexible and feasible for clinical applications. To validate the method, the authors constructed and acquired a CT scan of a heterogeneous block phantom consisting of a succession of slab densities: Tissue (1.29 cm), bone (2.42 cm), lung (4.84 cm), bone (1.37 cm), and tissue (4.84 cm). Using the hybrid transport method, the authors computed the absorbed doses at a set of points along the central axis and x direction of the phantom for an isotropic 125 kVp photon spectral point source located along the central axis 92.7 cm above the phantom surface. The accuracy of the results was compared to those computed with MCNP, which was cross-validated with EGSnrc, and served as the benchmark for validation. Results: The error in the depth dose ranged from -1.45% to +1.39% with a mean and standard deviation of -0.12% and 0.66%, respectively. The error in the x profile ranged from -1.3% to +0.9%, with standard deviations of -0.3% and 0.5%, respectively. The number of photons required to achieve these results was 1x10{sup 6}. Conclusions: The voxel-based hybrid method evaluates the LBTE rapidly and accurately to estimate the absorbed x-ray dose at any POI or series of POIs from a kV imaging procedure.

  16. SU-E-I-62: Assessing Radiation Dose Reduction and CT Image Optimization Through the Measurement and Analysis of the Detector Quantum Efficiency (DQE) of CT Images Using Different Beam Hardening Filters

    SciTech Connect (OSTI)

    Collier, J; Aldoohan, S; Gill, K

    2014-06-01

    Purpose: Reducing patient dose while maintaining (or even improving) image quality is one of the foremost goals in CT imaging. To this end, we consider the feasibility of optimizing CT scan protocols in conjunction with the application of different beam-hardening filtrations and assess this augmentation through noise-power spectrum (NPS) and detector quantum efficiency (DQE) analysis. Methods: American College of Radiology (ACR) and Catphan phantoms (The Phantom Laboratory) were scanned with a 64 slice CT scanner when additional filtration of thickness and composition (e.g., copper, nickel, tantalum, titanium, and tungsten) had been applied. A MATLAB-based code was employed to calculate the image of noise NPS. The Catphan Image Owl software suite was then used to compute the modulated transfer function (MTF) responses of the scanner. The DQE for each additional filter, including the inherent filtration, was then computed from these values. Finally, CT dose index (CTDIvol) values were obtained for each applied filtration through the use of a 100 mm pencil ionization chamber and CT dose phantom. Results: NPS, MTF, and DQE values were computed for each applied filtration and compared to the reference case of inherent beam-hardening filtration only. Results showed that the NPS values were reduced between 5 and 12% compared to inherent filtration case. Additionally, CTDIvol values were reduced between 15 and 27% depending on the composition of filtration applied. However, no noticeable changes in image contrast-to-noise ratios were noted. Conclusion: The reduction in the quanta noise section of the NPS profile found in this phantom-based study is encouraging. The reduction in both noise and dose through the application of beam-hardening filters is reflected in our phantom image quality. However, further investigation is needed to ascertain the applicability of this approach to reducing patient dose while maintaining diagnostically acceptable image qualities in a clinical setting.

  17. The effect of irregular breathing patterns on internal target volumes in four-dimensional CT and cone-beam CT images in the context of stereotactic lung radiotherapy

    SciTech Connect (OSTI)

    Clements, N.; Kron, T.; Roxby, P.; Franich, R.; Dunn, L.; Aarons, Y.; Chesson, B.; Siva, S.; Duplan, D.; Ball, D.

    2013-02-15

    Purpose: Stereotactic lung radiotherapy is complicated by tumor motion from patient respiration. Four-dimensional CT (4DCT) imaging is a motion compensation method used in treatment planning to generate a maximum intensity projection (MIP) internal target volume (ITV). Image guided radiotherapy during treatment may involve acquiring a volumetric cone-beam CT (CBCT) image and visually aligning the tumor to the planning 4DCT MIP ITV contour. Moving targets imaged with CBCT can appear blurred and currently there are no studies reporting on the effect that irregular breathing patterns have on CBCT volumes and their alignment to 4DCT MIP ITV contours. The objective of this work was therefore to image a phantom moving with irregular breathing patterns to determine whether any configurations resulted in errors in volume contouring or alignment. Methods: A Perspex thorax phantom was used to simulate a patient. Three wooden 'lung' inserts with embedded Perspex 'lesions' were moved up to 4 cm with computer-generated motion patterns, and up to 1 cm with patient-specific breathing patterns. The phantom was imaged on 4DCT and CBCT with the same acquisition settings used for stereotactic lung patients in the clinic and the volumes on all phantom images were contoured. This project assessed the volumes for qualitative and quantitative changes including volume, length of the volume, and errors in alignment between CBCT volumes and 4DCT MIP ITV contours. Results: When motion was introduced 4DCT and CBCT volumes were reduced by up to 20% and 30% and shortened by up to 7 and 11 mm, respectively, indicating that volume was being under-represented at the extremes of motion. Banding artifacts were present in 4DCT MIP images, while CBCT volumes were largely reduced in contrast. When variable amplitudes from patient traces were used and CBCT ITVs were compared to 4DCT MIP ITVs there was a distinct trend in reduced ITV with increasing amplitude that was not seen when compared to true ITVs. Breathing patterns with a rest period following expiration resulted in well-defined superior edges and were better aligned using an edge-to-edge alignment technique. In most cases, sinusoidal motion patterns resulted in the closest agreements to true values and the smallest misalignments. Conclusions: Strategies are needed to compensate for volume losses at the extremes of motion for both 4DCT MIP and CBCT images for larger and varied amplitudes, and for patterns with rest periods following expiration. Lesions moving greater than 2 cm would warrant larger treatment margins added to the 4DCT MIP ITV to account for the volume being under-represented at the extremes of motion. Lesions moving with a rest period following expiration would be better aligned using an edge-to-edge alignment technique. Sinusoidal patterns represented the ideal clinical scenario, reinforcing the importance of investigating clinically relevant motions and their effects on 4DCT MIP and CBCT volumes. Since most patients do not breathe sinusoidally this may lead to misinterpretation of previous studies using only sinusoidal motion.

  18. A low dose simulation tool for CT systems with energy integrating detectors

    SciTech Connect (OSTI)

    Zabic, Stanislav; Morton, Thomas; Brown, Kevin M.; Wang Qiu

    2013-03-15

    Purpose: This paper introduces a new strategy for simulating low-dose computed tomography (CT) scans using real scans of a higher dose as an input. The tool is verified against simulations and real scans and compared to other approaches found in the literature. Methods: The conditional variance identity is used to properly account for the variance of the input high-dose data, and a formula is derived for generating a new Poisson noise realization which has the same mean and variance as the true low-dose data. The authors also derive a formula for the inclusion of real samples of detector noise, properly scaled according to the level of the simulated x-ray signals. Results: The proposed method is shown to match real scans in number of experiments. Noise standard deviation measurements in simulated low-dose reconstructions of a 35 cm water phantom match real scans in a range from 500 to 10 mA with less than 5% error. Mean and variance of individual detector channels are shown to match closely across the detector array. Finally, the visual appearance of noise and streak artifacts is shown to match in real scans even under conditions of photon-starvation (with tube currents as low as 10 and 80 mA). Additionally, the proposed method is shown to be more accurate than previous approaches (1) in achieving the correct mean and variance in reconstructed images from pure-Poisson noise simulations (with no detector noise) under photon-starvation conditions, and (2) in simulating the correct noise level and detector noise artifacts in real low-dose scans. Conclusions: The proposed method can accurately simulate low-dose CT data starting from high-dose data, including effects from photon starvation and detector noise. This is potentially a very useful tool in helping to determine minimum dose requirements for a wide range of clinical protocols and advanced reconstruction algorithms.

  19. Large scale validation of the M5L lung CAD on heterogeneous CT datasets

    SciTech Connect (OSTI)

    Lopez Torres, E. E-mail: cerello@to.infn.it; Fiorina, E.; Pennazio, F.; Peroni, C.; Saletta, M.; Cerello, P. E-mail: cerello@to.infn.it; Camarlinghi, N.; Fantacci, M. E.

    2015-04-15

    Purpose: M5L, a fully automated computer-aided detection (CAD) system for the detection and segmentation of lung nodules in thoracic computed tomography (CT), is presented and validated on several image datasets. Methods: M5L is the combination of two independent subsystems, based on the Channeler Ant Model as a segmentation tool [lung channeler ant model (lungCAM)] and on the voxel-based neural approach. The lungCAM was upgraded with a scan equalization module and a new procedure to recover the nodules connected to other lung structures; its classification module, which makes use of a feed-forward neural network, is based of a small number of features (13), so as to minimize the risk of lacking generalization, which could be possible given the large difference between the size of the training and testing datasets, which contain 94 and 1019 CTs, respectively. The lungCAM (standalone) and M5L (combined) performance was extensively tested on 1043 CT scans from three independent datasets, including a detailed analysis of the full Lung Image Database Consortium/Image Database Resource Initiative database, which is not yet found in literature. Results: The lungCAM and M5L performance is consistent across the databases, with a sensitivity of about 70% and 80%, respectively, at eight false positive findings per scan, despite the variable annotation criteria and acquisition and reconstruction conditions. A reduced sensitivity is found for subtle nodules and ground glass opacities (GGO) structures. A comparison with other CAD systems is also presented. Conclusions: The M5L performance on a large and heterogeneous dataset is stable and satisfactory, although the development of a dedicated module for GGOs detection could further improve it, as well as an iterative optimization of the training procedure. The main aim of the present study was accomplished: M5L results do not deteriorate when increasing the dataset size, making it a candidate for supporting radiologists on large scale screenings and clinical programs.

  20. Level-set segmentation of pulmonary nodules in megavolt electronic portal images using a CT prior

    SciTech Connect (OSTI)

    Schildkraut, J. S.; Prosser, N.; Savakis, A.; Gomez, J.; Nazareth, D.; Singh, A. K.; Malhotra, H. K.

    2010-11-15

    Purpose: Pulmonary nodules present unique problems during radiation treatment due to nodule position uncertainty that is caused by respiration. The radiation field has to be enlarged to account for nodule motion during treatment. The purpose of this work is to provide a method of locating a pulmonary nodule in a megavolt portal image that can be used to reduce the internal target volume (ITV) during radiation therapy. A reduction in the ITV would result in a decrease in radiation toxicity to healthy tissue. Methods: Eight patients with nonsmall cell lung cancer were used in this study. CT scans that include the pulmonary nodule were captured with a GE Healthcare LightSpeed RT 16 scanner. Megavolt portal images were acquired with a Varian Trilogy unit equipped with an AS1000 electronic portal imaging device. The nodule localization method uses grayscale morphological filtering and level-set segmentation with a prior. The treatment-time portion of the algorithm is implemented on a graphical processing unit. Results: The method was retrospectively tested on eight cases that include a total of 151 megavolt portal image frames. The method reduced the nodule position uncertainty by an average of 40% for seven out of the eight cases. The treatment phase portion of the method has a subsecond execution time that makes it suitable for near-real-time nodule localization. Conclusions: A method was developed to localize a pulmonary nodule in a megavolt portal image. The method uses the characteristics of the nodule in a prior CT scan to enhance the nodule in the portal image and to identify the nodule region by level-set segmentation. In a retrospective study, the method reduced the nodule position uncertainty by an average of 40% for seven out of the eight cases studied.

  1. TU-F-18A-02: Iterative Image-Domain Decomposition for Dual-Energy CT

    SciTech Connect (OSTI)

    Niu, T; Dong, X; Petrongolo, M; Zhu, L

    2014-06-15

    Purpose: Dual energy CT (DECT) imaging plays an important role in advanced imaging applications due to its material decomposition capability. Direct decomposition via matrix inversion suffers from significant degradation of image signal-to-noise ratios, which reduces clinical value. Existing de-noising algorithms achieve suboptimal performance since they suppress image noise either before or after the decomposition and do not fully explore the noise statistical properties of the decomposition process. We propose an iterative image-domain decomposition method for noise suppression in DECT, using the full variance-covariance matrix of the decomposed images. Methods: The proposed algorithm is formulated in the form of least-square estimation with smoothness regularization. It includes the inverse of the estimated variance-covariance matrix of the decomposed images as the penalty weight in the least-square term. Performance is evaluated using an evaluation phantom (Catphan 600) and an anthropomorphic head phantom. Results are compared to those generated using direct matrix inversion with no noise suppression, a de-noising method applied on the decomposed images, and an existing algorithm with similar formulation but with an edge-preserving regularization term. Results: On the Catphan phantom, our method retains the same spatial resolution as the CT images before decomposition while reducing the noise standard deviation of decomposed images by over 98%. The other methods either degrade spatial resolution or achieve less low-contrast detectability. Also, our method yields lower electron density measurement error than direct matrix inversion and reduces error variation by over 97%. On the head phantom, it reduces the noise standard deviation of decomposed images by over 97% without blurring the sinus structures. Conclusion: We propose an iterative image-domain decomposition method for DECT. The method combines noise suppression and material decomposition into an iterative process and achieves both goals simultaneously. The proposed algorithm shows superior performance on noise suppression with high image spatial resolution and low-contrast detectability. This work is supported by a Varian MRA grant.

  2. CT imaging during microwave ablation: Analysis of spatial and temporal tissue contraction

    SciTech Connect (OSTI)

    Liu, Dong; Brace, Christopher L.

    2014-11-01

    Purpose: To analyze the spatial distribution and temporal development of liver tissue contraction during high-temperature ablation by using intraprocedural computed tomography (CT) imaging. Methods: A total of 46 aluminum fiducial markers were positioned in a 60 × 45 mm grid, in a single plane, around a microwave ablation antenna in each of six ex vivo bovine liver samples. Ablations were performed for 10 min at 100 W. CT data of the liver sample were acquired every 30 s during ablation. Fiducial motion between acquisitions was tracked in postprocessing and used to calculate measures of tissue contraction and contraction rates. The spatial distribution and temporal evolution of contraction were analyzed. Results: Fiducial displacement indicated that the zone measured postablation was 8.2 ± 1.8 mm (∼20%) smaller in the radial direction and 7.1 ± 1.0 mm (∼10%) shorter in the longitudinal direction than the preablation tissue dimension. Therefore, the total ablation volume was reduced from its preablation value by approximately 45%. Very little longitudinal contraction was noted in the distal portion of the ablation zone. Central tissues contracted more than 60%, which was near an estimated limit of ∼70% based on initial water content. More peripheral tissues contracted only 15% in any direction. Contraction rates peaked during the first 60 s of heating with a roughly exponential decay over time. Conclusions: Ablation zones measured posttreatment are significantly smaller than the pretreatment tissue dimensions. Tissue contraction is spatially dependent, with the greatest effect occurring in the central ablation zone. Contraction rate peaks early and decays over time.

  3. Patch-based generation of a pseudo CT from conventional MRI sequences for MRI-only radiotherapy of the brain

    SciTech Connect (OSTI)

    Andreasen, Daniel; Van Leemput, Koen; Hansen, Rasmus H.; Andersen, Jon A. L.; Edmund, Jens M.

    2015-04-15

    Purpose: In radiotherapy (RT) based on magnetic resonance imaging (MRI) as the only modality, the information on electron density must be derived from the MRI scan by creating a so-called pseudo computed tomography (pCT). This is a nontrivial task, since the voxel-intensities in an MRI scan are not uniquely related to electron density. To solve the task, voxel-based or atlas-based models have typically been used. The voxel-based models require a specialized dual ultrashort echo time MRI sequence for bone visualization and the atlas-based models require deformable registrations of conventional MRI scans. In this study, we investigate the potential of a patch-based method for creating a pCT based on conventional T{sub 1}-weighted MRI scans without using deformable registrations. We compare this method against two state-of-the-art methods within the voxel-based and atlas-based categories. Methods: The data consisted of CT and MRI scans of five cranial RT patients. To compare the performance of the different methods, a nested cross validation was done to find optimal model parameters for all the methods. Voxel-wise and geometric evaluations of the pCTs were done. Furthermore, a radiologic evaluation based on water equivalent path lengths was carried out, comparing the upper hemisphere of the head in the pCT and the real CT. Finally, the dosimetric accuracy was tested and compared for a photon treatment plan. Results: The pCTs produced with the patch-based method had the best voxel-wise, geometric, and radiologic agreement with the real CT, closely followed by the atlas-based method. In terms of the dosimetric accuracy, the patch-based method had average deviations of less than 0.5% in measures related to target coverage. Conclusions: We showed that a patch-based method could generate an accurate pCT based on conventional T{sub 1}-weighted MRI sequences and without deformable registrations. In our evaluations, the method performed better than existing voxel-based and atlas-based methods and showed a promising potential for RT of the brain based only on MRI.

  4. Assessment of contrast enhanced respiration managed cone-beam CT for image guided radiotherapy of intrahepatic tumors

    SciTech Connect (OSTI)

    Jensen, Nikolaj K. G.; Stewart, Errol; Imaging Research Lab, Robarts Research Institute, London, Ontario N6A 5B7; Imaging Program, Lawson Health Research Institute, London, Ontario N6C 2R5 ; Lock, Michael; Fisher, Barbara; Department of Oncology, University of Western Ontario, London, Ontario N6A 4L6 ; Kozak, Roman; Chen, Jeff; Department of Oncology, University of Western Ontario, London, Ontario N6A 4L6; Department of Medical Biophysics, University of Western Ontario, London, Ontario N6A 5C1 ; Lee, Ting-Yim; Imaging Research Lab, Robarts Research Institute, London, Ontario N6A 5B7; Imaging Program, Lawson Health Research Institute, London, Ontario N6C 2R5; Department of Oncology, University of Western Ontario, London, Ontario N6A 4L6; Department of Medical Biophysics, University of Western Ontario, London, Ontario N6A 5C1 ; Wong, Eugene; Department of Oncology, University of Western Ontario, London, Ontario N6A 4L6; Department of Medical Biophysics, University of Western Ontario, London, Ontario N6A 5C1; Department of Physics and Astronomy, University of Western Ontario, London, Ontario N6A 3K7

    2014-05-15

    Purpose: Contrast enhancement and respiration management are widely used during image acquisition for radiotherapy treatment planning of liver tumors along with respiration management at the treatment unit. However, neither respiration management nor intravenous contrast is commonly used during cone-beam CT (CBCT) image acquisition for alignment prior to radiotherapy. In this study, the authors investigate the potential gains of injecting an iodinated contrast agent in combination with respiration management during CBCT acquisition for liver tumor radiotherapy. Methods: Five rabbits with implanted liver tumors were subjected to CBCT with and without motion management and contrast injection. The acquired CBCT images were registered to the planning CT to determine alignment accuracy and dosimetric impact. The authors developed a simulation tool for simulating contrast-enhanced CBCT images from dynamic contrast enhanced CT imaging (DCE-CT) to determine optimal contrast injection protocols. The tool was validated against contrast-enhanced CBCT of the rabbit subjects and was used for five human patients diagnosed with hepatocellular carcinoma. Results: In the rabbit experiment, when neither motion management nor contrast was used, tumor centroid misalignment between planning image and CBCT was 9.2 mm. This was reduced to 2.8?mm when both techniques were employed. Tumors were not visualized in clinical CBCT images of human subjects. Simulated contrast-enhanced CBCT was found to improve tumor contrast in all subjects. Different patients were found to require different contrast injections to maximize tumor contrast. Conclusions: Based on the authors animal study, respiration managed contrast enhanced CBCT improves IGRT significantly. Contrast enhanced CBCT benefits from patient specific tracer kinetics determined from DCE-CT.

  5. Inter-slice bidirectional registration-based segmentation of the prostate gland in MR and CT image sequences

    SciTech Connect (OSTI)

    Khalvati, Farzad Tizhoosh, Hamid R.; Salmanpour, Aryan; Rahnamayan, Shahryar; Rodrigues, George

    2013-12-15

    Purpose: Accurate segmentation and volume estimation of the prostate gland in magnetic resonance (MR) and computed tomography (CT) images are necessary steps in diagnosis, treatment, and monitoring of prostate cancer. This paper presents an algorithm for the prostate gland volume estimation based on the semiautomated segmentation of individual slices in T2-weighted MR and CT image sequences. Methods: The proposedInter-Slice Bidirectional Registration-based Segmentation (iBRS) algorithm relies on interslice image registration of volume data to segment the prostate gland without the use of an anatomical atlas. It requires the user to mark only three slices in a given volume dataset, i.e., the first, middle, and last slices. Next, the proposed algorithm uses a registration algorithm to autosegment the remaining slices. We conducted comprehensive experiments to measure the performance of the proposed algorithm using three registration methods (i.e., rigid, affine, and nonrigid techniques). Results: The results with the proposed technique were compared with manual marking using prostate MR and CT images from 117 patients. Manual marking was performed by an expert user for all 117 patients. The median accuracies for individual slices measured using the Dice similarity coefficient (DSC) were 92% and 91% for MR and CT images, respectively. The iBRS algorithm was also evaluated regarding user variability, which confirmed that the algorithm was robust to interuser variability when marking the prostate gland. Conclusions: The proposed algorithm exploits the interslice data redundancy of the images in a volume dataset of MR and CT images and eliminates the need for an atlas, minimizing the computational cost while producing highly accurate results which are robust to interuser variability.

  6. Pattern of Retained Contrast on Immediate Postprocedure Computed tomography (CT) After Particle Embolization of Liver Tumors Predicts Subsequent Treatment Response

    SciTech Connect (OSTI)

    Wang Xiaodong Erinjeri, Joseph P.; Jia Xiaoyu Gonen, Mithat; Brown, Karen T. Sofocleous, Constantinos T. Getrajdman, George I. Brody, Lynn A. Thornton, Raymond H. Maybody, Majid Covey, Ann M. Siegelbaum, Robert H. Alago, William Solomon, Stephen B.

    2013-08-01

    PurposeTo determine if the pattern of retained contrast on immediate postprocedure computed tomography (CT) after particle embolization of hepatic tumors predicts modified Response Evaluation Criteria in Solid Tumors (mRECIST) response.Materials and MethodsThis study was approved by the Institutional Review Board with a waiver of authorization. One hundred four liver tumors were embolized with spherical embolic agents (Embospheres, Bead Block, LC Bead) and polyvinyl alcohol. Noncontrast CT was performed immediately after embolization to assess contrast retention in the targeted tumors, and treatment response was assessed by mRECIST criteria on follow-up CT (average time 9.0 {+-} 7.7 weeks after embolization). Tumor contrast retention (TCR) was determined based on change in Hounsfield units (HUs) of the index tumors between the preprocedure and immediate postprocedure scans; vascular contrast retention (VCR) was rated; and defects in contrast retention (DCR) were also documented. The morphology of residual enhancing tumor on follow-up CT was described as partial, circumferential, or total. Association between TCR variables and tumor response were assessed using multivariate logistic regression.ResultsOf 104 hepatic tumors, 51 (49 %) tumors had complete response (CR) by mRECIST criteria; 23 (22.1 %) had partial response (PR); 21 (20.2 %) had stable disease (SD); and 9 (8.7 %) had progressive disease (PD). By multivariate analysis, TCR, VCR, and tumor size are independent predictors of CR (p = 0.02, 0.05, and 0.005 respectively). In 75 tumors, DCR was found to be an independent predictor of failure to achieve complete response (p < 0.0001) by imaging criteria.ConclusionTCR, VCR, and DCR on immediate posttreatment CT are independent predictors of CR by mRECIST criteria.

  7. DOE Zero Energy Ready Home Case Study: Shore Road Project - Old Greenwich,

    Energy Savers [EERE]

    Connecticut | Department of Energy Shore Road Project - Old Greenwich, Connecticut DOE Zero Energy Ready Home Case Study: Shore Road Project - Old Greenwich, Connecticut Case study of a DOE Zero Energy Ready Home in Old Greenwich, CT, that scored HERS 40 without PV and HERS 27 with PV. This 4,100 ft2 custom home has 13-inch ICF basement walls and 11-inch insulated concrete form (ICF) above-grade walls with a closed-cell spray foam-insulated roof deck, and a continuously running energy

  8. DOEFIX'

    Office of Legacy Management (LM)

    DOEFIX' G-r 3 - 1 ' -(s-EL, Effi (07-W) Urited States Government memorandum CT. 3 Department of Energy ~~~~~~ EM-421 (W. R. Williams, 903-8149) SUBJECT: -Authorization for Remedial Action at the Combustion Engineering Site, Windsor, Connecticut T0 i. Price, OR The Combustion Engineering facility in Windsor, Connecticut, is designated for remedial action under the Formerly Utilized Sites Remedial Action Program (FUSRAP). This designation is based on the results of a radiological survey,

  9. Ranchero Armature Test LA-19.4-CT-3: PBX-9501 Explosive with no smoothing layer. Firing point 88, 9/16/13

    SciTech Connect (OSTI)

    Glover, Brian B.; Goforth, James H.; Rae, Philip John; Dickson, Peter; Briggs, Matthew E.; Marr-Lyon, Mark; Hare, Steven John; Herrera, Dennis Harold; Watt, Robert Gregory; Rousculp, Christopher L.

    2014-11-13

    LA-19.4-CT-3 (CT-3) was the third camera test in a series beginning in 1/11, which diagnose the performance of 6 mm thick, 6061 T-0 Al Ranchero armatures. [The test LA-43-CT-2 (CT-2) is described in LA-UR-14-21983.] The goal of CT-3 was to verify that PBX-9501, with 18 mm point spacing and no smoothing layer, could be used for Ranchero generator armatures in place of PBXN-110, which had been used in all previous Ranchero applications. CT-1 and CT-2 both had 43 cm long slapper detonator systems imbedded in the cast PBXN-110 explosive, but manufacturing a charge for a similar 9501 test was not cost effective. Instead, a single cylinder of 9501, 19.368 cm long and 15.494 cm (6.100)in diameter, had a groove machined to accommodate a row of 11 SE-1 detonators with 18 mm point spacing along the mid-plane of the cylinder. The expansion of the armature looks like a slapper assembly along almost of the circumference, and provides adequate proof of concept. Removing the smoother from PBXN-110-driven armatures increased the armature velocity from 3.1 mm/?s to 3.3 mm/?s, as seen in CT-2, and the velocity measured on CT-3 increased to 3.8 mm/?s. In addition, the camera records show that the surface of the armature is smooth enough, and free from ruptures for an expansion of greater that 2X. The advantage of using 9501 is that it precludes concerns about blow-outs seen when bubbles are left in the cast material, and gives extra velocity. The disadvantage is that the machined explosives are more expensive.

  10. SU-E-J-218: Evaluation of CT Images Created Using a New Metal Artifact Reduction Reconstruction Algorithm for Radiation Therapy Treatment Planning

    SciTech Connect (OSTI)

    Niemkiewicz, J; Palmiotti, A; Miner, M; Stunja, L; Bergene, J [Lehigh Valley Health Network, Allentown, PA (United States)

    2014-06-01

    Purpose: Metal in patients creates streak artifacts in CT images. When used for radiation treatment planning, these artifacts make it difficult to identify internal structures and affects radiation dose calculations, which depend on HU numbers for inhomogeneity correction. This work quantitatively evaluates a new metal artifact reduction (MAR) CT image reconstruction algorithm (GE Healthcare CT-0521-04.13-EN-US DOC1381483) when metal is present. Methods: A Gammex Model 467 Tissue Characterization phantom was used. CT images were taken of this phantom on a GE Optima580RT CT scanner with and without steel and titanium plugs using both the standard and MAR reconstruction algorithms. HU values were compared pixel by pixel to determine if the MAR algorithm altered the HUs of normal tissues when no metal is present, and to evaluate the effect of using the MAR algorithm when metal is present. Also, CT images of patients with internal metal objects using standard and MAR reconstruction algorithms were compared. Results: Comparing the standard and MAR reconstructed images of the phantom without metal, 95.0% of pixels were within 35 HU and 98.0% of pixels were within 85 HU. Also, the MAR reconstruction algorithm showed significant improvement in maintaining HUs of non-metallic regions in the images taken of the phantom with metal. HU Gamma analysis (2%, 2mm) of metal vs. non-metal phantom imaging using standard reconstruction resulted in an 84.8% pass rate compared to 96.6% for the MAR reconstructed images. CT images of patients with metal show significant artifact reduction when reconstructed with the MAR algorithm. Conclusion: CT imaging using the MAR reconstruction algorithm provides improved visualization of internal anatomy and more accurate HUs when metal is present compared to the standard reconstruction algorithm. MAR reconstructed CT images provide qualitative and quantitative improvements over current reconstruction algorithms, thus improving radiation treatment planning accuracy.

  11. An HRTEM investigation of the metastable low-temperature silica phase opal-CT in cherts and porcelanites from the Monterey Formation, CA

    SciTech Connect (OSTI)

    Cady, S.L.; Wenk, H.R. )

    1992-01-01

    High resolution transmission electron microscopy (HRTEM) is used to investigate the metastable low-temperature silica phase opal-CT in cherts and porcelanites from the Miocene Monterey Formation of California. Low-dose imaging techniques developed to image highly beam sensitive proteins were used in this study and have resulted in good phase contrast images of this hydrous silica phase. Detailed X-ray powder diffraction studies of stratigraphically equivalent rocks along the Santa Barbara coast indicate that the primary d-spacing of newly formed opal-CT differs in rocks with different ratios of silica and detrital minerals. Opal-CT forms progressively later and with a smaller primary d-spacing in rocks with increasing amounts of detrital minerals. In siliceous cherts opal-CT occurs as long needles that most often form dense spherulitic fiber bundles which are randomly dispersed within the rock matrix. The random orientation of fiber bundle nucleation centers does not appear to be associated with any obvious nucleation site, unlike the length-slow opal-CT fibers known as lussatite. Opal-CT needles produce optical diffractogram patterns that are compatible with tridymite and crystobalite. Streaking in the diffraction pattern of individual needles is attributed to a high density of planar defects parallel to their length. Planar defects are not as abundant in opal-CT needles formed in detrital-rich rocks suggesting the rapid growth of opal-CT in highly siliceous environments results in a greater proportion of stacking disorder in the needles. HRTEM provides a method for investigating the development of the microstructure of opal-CT during diagenesis.

  12. A One-Step Cone-Beam CT-Enabled Planning-to-Treatment Model for Palliative Radiotherapy-From Development to Implementation

    SciTech Connect (OSTI)

    Wong, Rebecca K.S.; Letourneau, Daniel; Varma, Anita; Department of Radiation Oncology, University of Toronto, Toronto, Ontario ; Bissonnette, Jean Pierre; Fitzpatrick, David; Grabarz, Daniel; Elder, Christine; Martin, Melanie; Bezjak, Andrea; Department of Radiation Oncology, University of Toronto, Toronto, Ontario ; Panzarella, Tony; Gospodarowicz, Mary; Department of Radiation Oncology, University of Toronto, Toronto, Ontario ; Jaffray, David A.; Department of Radiation Oncology, University of Toronto, Toronto, Ontario; Department of Medical Biophysics, University of Toronto, Toronto, Ontario

    2012-11-01

    Purpose: To develop a cone-beam computed tomography (CT)-enabled one-step simulation-to-treatment process for the treatment of bone metastases. Methods and Materials: A three-phase prospective study was conducted. Patients requiring palliative radiotherapy to the spine, mediastinum, or abdomen/pelvis suitable for treatment with simple beam geometry ({<=}2 beams) were accrued. Phase A established the accuracy of cone-beam CT images for the purpose of gross tumor target volume (GTV) definition. Phase B evaluated the feasibility of implementing the cone-beam CT-enabled planning process at the treatment unit. Phase C evaluated the online cone-beam CT-enabled process for the planning and treatment of patients requiring radiotherapy for bone metastases. Results: Eighty-four patients participated in this study. Phase A (n = 9) established the adequacy of cone-beam CT images for target definition. Phase B (n = 45) established the quality of treatment plans to be adequate for clinical implementation for bone metastases. When the process was applied clinically in bone metastases (Phase C), the degree of overlap between planning computed tomography (PCT) and cone-beam CT for GTV and between PCT and cone-beam CT for treatment field was 82% {+-} 11% and 97% {+-} 4%, respectively. The oncologist's decision to accept the plan under a time-pressured environment remained of high quality, with the cone-beam CT-generated treatment plan delivering at least 90% of the prescribed dose to 100% {+-} 0% of the cone-beam CT planning target volume (PTV). With the assumption that the PCT PTV is the gold-standard target, the cone-beam CT-generated treatment plan delivered at least 90% and at least 95% of dose to 98% {+-} 2% and 97% {+-} 5% of the PCT PTV, respectively. The mean time for the online planning and treatment process was 32.7 {+-} 4.0 minutes. Patient satisfaction was high, with a trend for superior satisfaction with the cone-beam CT-enabled process. Conclusions: The cone-beam CT-enabled palliative treatment process is feasible and is ready for clinical implementation for the treatment of bone metastases using simple beam geometry, providing a streamlined one-step process toward palliative radiotherapy.

  13. SU-E-J-92: On-Line Cone Beam CT Based Planning for Emergency and Palliative Radiation Therapy

    SciTech Connect (OSTI)

    Held, M; Morin, O; Pouliot, J

    2014-06-01

    Purpose: To evaluate and develop the feasibility of on-line cone beam CT based planning for emergency and palliative radiotherapy treatments. Methods: Subsequent to phantom studies, a case library of 28 clinical megavoltage cone beam CT (MVCBCT) was built to assess dose-planning accuracies on MVCBCT for all anatomical sites. A simple emergency treatment plan was created on the MVCBCT and copied to its reference CT. The agreement between the dose distributions of each image pair was evaluated by the mean dose difference of the dose volume and the gamma index of the central 2D axial plane. An array of popular urgent and palliative cases was also evaluated for imaging component clearance and field-of-view. Results: The treatment cases were categorized into four groups (head and neck, thorax/spine, pelvis and extremities). Dose distributions for head and neck treatments were predicted accurately in all cases with a gamma index of >95% for 2% and 2 mm criteria. Thoracic spine treatments had a gamma index as low as 60% indicating a need for better uniformity correction and tissue density calibration. Small anatomy changes between CT and MVCBCT could contribute to local errors. Pelvis and sacral spine treatment cases had a gamma index between 90% and 98% for 3%/3 mm criteria. The limited FOV became an issue for large pelvis patients. Imaging clearance was difficult for cases where the tumor was positioned far off midline. Conclusion: The MVCBCT based dose planning and delivery approach is feasible in many treatment cases. Dose distributions for head and neck patients are unrestrictedly predictable. Some FOV restrictions apply to other treatment sites. Lung tissue is most challenging for accurate dose calculations given the current imaging filters and corrections. Additional clinical cases for extremities need to be included in the study to assess the full range of site-specific planning accuracies. This work is supported by Siemens.

  14. SU-E-I-33: Initial Evaluation of Model-Based Iterative CT Reconstruction Using Standard Image Quality Phantoms

    SciTech Connect (OSTI)

    Gingold, E; Dave, J

    2014-06-01

    Purpose: The purpose of this study was to compare a new model-based iterative reconstruction with existing reconstruction methods (filtered backprojection and basic iterative reconstruction) using quantitative analysis of standard image quality phantom images. Methods: An ACR accreditation phantom (Gammex 464) and a CATPHAN600 phantom were scanned using 3 routine clinical acquisition protocols (adult axial brain, adult abdomen, and pediatric abdomen) on a Philips iCT system. Each scan was acquired using default conditions and 75%, 50% and 25% dose levels. Images were reconstructed using standard filtered backprojection (FBP), conventional iterative reconstruction (iDose4) and a prototype model-based iterative reconstruction (IMR). Phantom measurements included CT number accuracy, contrast to noise ratio (CNR), modulation transfer function (MTF), low contrast detectability (LCD), and noise power spectrum (NPS). Results: The choice of reconstruction method had no effect on CT number accuracy, or MTF (p<0.01). The CNR of a 6 HU contrast target was improved by 167% with iDose4 relative to FBP, while IMR improved CNR by 145367% across all protocols and dose levels. Within each scan protocol, the CNR improvement from IMR vs FBP showed a general trend of greater improvement at lower dose levels. NPS magnitude was greatest for FBP and lowest for IMR. The NPS of the IMR reconstruction showed a pronounced decrease with increasing spatial frequency, consistent with the unusual noise texture seen in IMR images. Conclusion: Iterative Model Reconstruction reduces noise and improves contrast-to-noise ratio without sacrificing spatial resolution in CT phantom images. This offers the possibility of radiation dose reduction and improved low contrast detectability compared with filtered backprojection or conventional iterative reconstruction.

  15. Maximum Diameter Measurements of Aortic Aneurysms on Axial CT Images After Endovascular Aneurysm Repair: Sufficient for Follow-up?

    SciTech Connect (OSTI)

    Baumueller, Stephan Nguyen, Thi Dan Linh Goetti, Robert Paul; Lachat, Mario; Seifert, Burkhardt; Pfammatter, Thomas Frauenfelder, Thomas

    2011-12-15

    Purpose: To assess the accuracy of maximum diameter measurements of aortic aneurysms after endovascular aneurysm repair (EVAR) on axial computed tomographic (CT) images in comparison to maximum diameter measurements perpendicular to the intravascular centerline for follow-up by using three-dimensional (3D) volume measurements as the reference standard. Materials and Methods: Forty-nine consecutive patients (73 {+-} 7.5 years, range 51-88 years), who underwent EVAR of an infrarenal aortic aneurysm were retrospectively included. Two blinded readers twice independently measured the maximum aneurysm diameter on axial CT images performed at discharge, and at 1 and 2 years after intervention. The maximum diameter perpendicular to the centerline was automatically measured. Volumes of the aortic aneurysms were calculated by dedicated semiautomated 3D segmentation software (3surgery, 3mensio, the Netherlands). Changes in diameter of 0.5 cm and in volume of 10% were considered clinically significant. Intra- and interobserver agreements were calculated by intraclass correlations (ICC) in a random effects analysis of variance. The two unidimensional measurement methods were correlated to the reference standard. Results: Intra- and interobserver agreements for maximum aneurysm diameter measurements were excellent (ICC = 0.98 and ICC = 0.96, respectively). There was an excellent correlation between maximum aneurysm diameters measured on axial CT images and 3D volume measurements (r = 0.93, P < 0.001) as well as between maximum diameter measurements perpendicular to the centerline and 3D volume measurements (r = 0.93, P < 0.001). Conclusion: Measurements of maximum aneurysm diameters on axial CT images are an accurate, reliable, and robust method for follow-up after EVAR and can be used in daily routine.

  16. Introduction of heat map to fidelity assessment of compressed CT images

    SciTech Connect (OSTI)

    Lee, Hyunna; Kim, Bohyoung; Seo, Jinwook; Park, Seongjin; Shin, Yeong-Gil; Kim, Kil Joong; Lee, Kyoung Ho

    2011-08-15

    Purpose: This study aimed to introduce heat map, a graphical data presentation method widely used in gene expression experiments, to the presentation and interpretation of image fidelity assessment data of compressed computed tomography (CT) images. Methods: The authors used actual assessment data that consisted of five radiologists' responses to 720 computed tomography images compressed using both Joint Photographic Experts Group 2000 (JPEG2000) 2D and JPEG2000 3D compressions. They additionally created data of two artificial radiologists, which were generated by partly modifying the data from two human radiologists. Results: For each compression, the entire data set, including the variations among radiologists and among images, could be compacted into a small color-coded grid matrix of the heat map. A difference heat map depicted the advantage of 3D compression over 2D compression. Dendrograms showing hierarchical agglomerative clustering results were added to the heat maps to illustrate the similarities in the data patterns among radiologists and among images. The dendrograms were used to identify two artificial radiologists as outliers, whose data were created by partly modifying the responses of two human radiologists. Conclusions: The heat map can illustrate a quick visual extract of the overall data as well as the entirety of large complex data in a compact space while visualizing the variations among observers and among images. The heat map with the dendrograms can be used to identify outliers or to classify observers and images based on the degree of similarity in the response patterns.

  17. CONNECTICUT CHALLENGES TOWNS TO REDUCE ENERGY USE | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... Marketing and Outreach: N2N used a multifaceted, community-based social marketing ... N2N employed an online "leaderboard," a scorecard that ranked the towns' performances. ...

  18. Connecticut Light & Power- ZREC and LREC Long Term Contracts

    Broader source: Energy.gov [DOE]

    NOTE: Year 3 of the competitive solicitation for the program ended on February 2015, next round is anticipated to be opened on April, 2015. 

  19. California and Connecticut: National Fuel Cell Bus Programs Drive...

    Energy Savers [EERE]

    Office (FCTO) conducts comprehensive efforts to overcome the technological, economic, and institutional barriers to the widespread commercialization of hydrogen and fuel cells. ...

  20. Connecticut Company to Advance Hydrogen Infrastructure and Fueling...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    innovation and help the industry bring these technologies into the marketplace at lower cost. "As part of an all-of-the-above strategy to deploy every available source of...