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Sample records for bridgeport ct connecticut

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

    Open Energy Info (EERE)

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  2. PRELIMINARY SURVEY OF BRIDGEPORT BRASS COMPANY SEYMOUR, CONNECTICUT

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700 GJO-2003-411-TAC GJO-PIN~$7-K 1BRIDGEPORT

  3. 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.

  4. Graystone Group Advertising, 2710 North Ave, Suite 200 Bridgeport, CT 06604 Phone: 8005440005 or 2035490060 Fax: 2035490061

    E-Print Network [OSTI]

    Stuart, Steven J.

    Graystone Group Advertising, 2710 North Ave, Suite 200 Bridgeport, CT 06604 Phone: 8005440005 or 2035490060 Fax: 2035490061 Email: ads@graystoneadv.com Placing Recruitment Advertising To assist University departments with all recruitment and advertising needs, Clemson is now partnered

  5. 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.

  6. Participating University of Connecticut

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Participating Schools University of Connecticut Trinity College Yale University University of Bridgeport Southern Connecticut State University Participating Corporations United Technologies Research Coherent-DEOS JDS-Uniphase C-Cor ASML Jetek, LLC Connecticut Symposium on Microelectronics

  7. University of Connecticut School of Nursing, 231 Glenbrook Road, Storrs, CT 062692026 NEWS RELEASE

    E-Print Network [OSTI]

    Alpay, S. Pamir

    University of Connecticut School of Nursing, 231 Glenbrook Road, Storrs, CT 062692026 NEWS, 2015 Storrs, CT - The University of Connecticut School of Nursing jumped 36 spots from a No. 79 ranking, students, community partners and alumni at the University of Connecticut's School of Nursing," said Dean

  8. Guilford, Connecticut -- The Guildford Green

    E-Print Network [OSTI]

    Bloomer, Nona

    1994-01-01

    New England: Guilford, Connecticut," Yankee Magazine (MayTown Planning in Colonial Connecticut (New Haven, CT: Yaleof Guilford, Connecticut (Guilford, CT: Guilford

  9. University of Connecticut School of Medicine

    E-Print Network [OSTI]

    Oliver, Douglas L.

    University of Connecticut School of Medicine Department of Psychiatry University of Connecticut Health Center, John Dempsey Hospital, Farmington CT University of Connecticut School of Medicine, Department of Psychiatry, UHP Outpatient Clinic, West Hartford CT University of Connecticut School

  10. Connecticut Why Change?

    E-Print Network [OSTI]

    Chandy, John A.

    The New Connecticut PR-1 Why Change? Why Now? Connecticut's PR-1 was last updated in 1995. Over.D. Associate Research Professor Director, Connecticut Transportation Safety Research Center Connecticut Transportation Institute University of Connecticut 270 Middle Turnpike, Unit 5202 Storrs, CT 06269 860-486-8426 e

  11. Connecticut: Bridgeport Multifamily Weatherization | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle (PEV)Day-June 22,FresnoSky) 15 Pictured<

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

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth Dakota Edgemont, SouthLaboratory - CT 06 Bridgeport Brass Co -

  13. University of Connecticut, Office of the Registrar, Transcript Request Form Transcript Request Form -University of Connecticut

    E-Print Network [OSTI]

    Alpay, S. Pamir

    University of Connecticut, Office of the Registrar, Transcript Request Form Transcript Request Form - University of Connecticut Office of the Registrar, Unit 4077T, Storrs, CT 06269-4077T Forms of Connecticut under other names, please indicate them here

  14. Category:Bridgeport, CT | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla, Georgia: Energy014771°,North Dakota:BonnBoulder, CO Jump

  15. Poetry Inspired by Mathematics: a Brief Journey through History Department of Mathematics, University of Connecticut, Storrs, Connecticut, USA

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    of Mathematics, University of Connecticut, Storrs, Connecticut, USA Correspondence details: Sarah Glaz E-3009 University of Connecticut Storrs, CT 06269-3009 (Received XX February 2011; final version received

  16. University of Connecticut Office of Travel Services,

    E-Print Network [OSTI]

    Alpay, S. Pamir

    University of Connecticut Office of Travel Services, Accounts Payable Department New Central Warehouse Building, 3 North Hillside Road, Unit 6220 Storrs, CT 06269-6220 The University of Connecticut

  17. UNIVERSITY OF CONNECTICUT Office of Undergraduate Admissions

    E-Print Network [OSTI]

    Alpay, S. Pamir

    UNIVERSITY OF CONNECTICUT Office of Undergraduate Admissions Special Program in Dental Medicine. The University of Connecticut does not require that you sign such a waiver as a condition for admission or award of Connecticut Office of Undergraduate Admissions 2131 Hillside Road, Unit-3088 Storrs, CT 06269-3088 Please

  18. UNIVERSITY OF CONNECTICUT Office of Undergraduate Admissions

    E-Print Network [OSTI]

    Alpay, S. Pamir

    UNIVERSITY OF CONNECTICUT Office of Undergraduate Admissions Special Program in Medicine. The University of Connecticut does not require that you sign such a waiver as a condition for admission or award of Connecticut Office of Undergraduate Admissions 2131 Hillside Road, Unit-3088 Storrs, CT 06269-3088 Please

  19. The Sweet Taste of Defeat: American Electric Power Co v. Connecticut and Federal Greenhouse Gas Regulation

    E-Print Network [OSTI]

    Trisolini, Katherine A.

    2012-01-01

    Am. Elec. Power Co. v. Connecticut, 131 S. Ct. 2527, 2532,50. Id. at 2540. 51. Connecticut v. Am. Elec. Power Co. ,Electric Power Co. v. Connecticut and Federal Greenhouse Gas

  20. University of Connecticut Storrs, Connecticut

    E-Print Network [OSTI]

    Chandy, John A.

    University of Connecticut Storrs, Connecticut Regional: Avery Point, Greater Hartford, Stamford #12;Financial Report For the Year Ended June 30, 2010 #12;#12;University of Connecticut June 30, 2010 Message from the Vice President and Chief Financial Officer Founded in 1881, the University of Connecticut

  1. DEAN'S OFFICE CONTACT INFORMATION University of Connecticut School of Medicine

    E-Print Network [OSTI]

    Page 8 DEAN'S OFFICE CONTACT INFORMATION University of Connecticut School of Medicine 263@uchc.edu ______________________________________________________________________________ University of Connecticut School of Medicine 263 Farmington Avenue, AG050 Farmington, CT 06030-1912 Phone

  2. Proceedings of the School of Engineering & University of Connecticut Health Center

    E-Print Network [OSTI]

    Chandy, John A.

    #12;Proceedings of the School of Engineering & University of Connecticut Health Center Bio Office of Technology Commercialization Beacon Connecticut Innovations Sponsors April 22, 2008 University of Connecticut Storrs, CT, USA Published by School of Engineering The University of Connecticut, Storrs, USA

  3. Connecticut Massachusetts

    E-Print Network [OSTI]

    Summary California Connecticut Florida Maine Maryland Massachusetts Missouri New Hampshire New for Network Implementation Academic Partners for Excellence Tulane University University of California, Berkeley University of Pittsburgh University of Medicine and Dentistry of New Jersey University of Medicine

  4. 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.

  5. 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.

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,CammackFLIRChurch Point,Blue Hill, Nebraska (Utility Company)Bridgeport

  7. Census Snapshot: Connecticut

    E-Print Network [OSTI]

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01

    CONNECTICUT Adam P. Romero, Public Policy Fellow Clifford J.raising children in Connecticut. We compare same-sex “sex married couples in Connecticut. 1 APRIL 2008 In many

  8. University of Connecticut Authorization for Disclosure and Release of Medical Information Form

    E-Print Network [OSTI]

    Alpay, S. Pamir

    University of Connecticut Authorization for Disclosure and Release of Medical Information Form Revised 10/13 As required by Connecticut law, the Office of Diversity and Equity may not use or disclose of Connecticut 241 Glenbrook Road - Unit 4175 Storrs, CT 06269-4175 Telephone - (860) 486-2943 Facsimile - (860

  9. Connecticut v. AEP" (2( )")821 :Connecticut v. AEP

    E-Print Network [OSTI]

    Wintner, Shuly

    " : : Connecticut v. AEP" (2( )")821 : :Connecticut v. AEP . . . 8. 8 " , . , , " -2.2% . - , , . , . , .1 , " " ". 1 Connecticut v. American Elec. Power Co., Inc., 406 F.Supp.2d 265 #12; " : : Connecticut v. AEP" (2( )")821 921

  10. UNIVERSITY OF CONNECTICUT UNIVERSITY OF CONNECTICUT HEALTH CENTER

    E-Print Network [OSTI]

    Kim, Duck O.

    UNIVERSITY OF CONNECTICUT UNIVERSITY OF CONNECTICUT HEALTH CENTER HUMAN STEM CELL RESEARCH COST.....................................................................................12 #12;University of Connecticut and the University of Connecticut Health Center Human Stem Cell that is ineligible for federal support. The University of Connecticut and the University of Connecticut Health Center

  11. Public Accessibility Form (Version 9/27/2012) Page 1 of 1 University of Connecticut Health Center (UCHC)

    E-Print Network [OSTI]

    Public Accessibility Form (Version 9/27/2012) Page 1 of 1 University of Connecticut Health Center of Connecticut Health Center or you may mail the completed form to: Dr. Gustavo Fernandez, University of Connecticut Health Center, 263 Farmington Ave., MC3505, Farmington, CT 06030-3505 . *All information must

  12. Flat Lining: Connecticut's Disappearing Economic Growth The Connecticut Economic Outlook: June 2015

    E-Print Network [OSTI]

    Chandy, John A.

    Flat Lining: Connecticut's Disappearing Economic Growth The Connecticut Economic Outlook: June 2015 William E. Waite, Managing Director, Semnia LLC Connecticut

  13. Electric & Gas Conservation Programs Connecticut Energy Efficiency Fund Programs for Commercial & Industrial Customers 

    E-Print Network [OSTI]

    Sermakekian, E.

    2011-01-01

    Conservation Programs Connecticut Energy Efficiency Fund Programs for Commercial & Industrial Customers Presented by: CL&P?s Conservation and Load Management Department 2 ? Connecticut Energy Efficiency Fund (CEEF) was created... in 1998 by CT State Legislature ? Energy efficiency is a valuable resource for Connecticut, it: ? Reduces air pollutants and greenhouse gases ? Creates monetary savings for customers ? Reduces need for more energy generation ? Creates jobs ? Money...

  14. UNIVERSITY OF CONNECTICUT STORRS CAMPUS

    E-Print Network [OSTI]

    Alpay, S. Pamir

    UNIVERSITY OF CONNECTICUT STORRS CAMPUS FREIGHT DELIVERY CENTRAL STORES Disclaimer for Freight Delivery of Large Items Your signature below authorizes the University of Connecticut (UConn) to accept

  15. Recovery Act State Memos Connecticut

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

    Clean Cities. These Clean Cities coalitions support efforts to facilitate the adoption of alternate fuels and petroleum-reducing technologies in Connecticut. Connecticut is also...

  16. Next Generation Connecticut & Other Capital Projects

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Next Generation Connecticut & Other Capital Projects Planning, Architectural & Engineering Services September 18, 2014 #12;Agenda Project Updates · Next Generation Connecticut · Master Plan · Projects OF CONNECTICUT | CAMPUS MASTER PLAN SEPT. 12, 2014 7 #12;Master Planning Principles UNIVERSITY OF CONNECTICUT

  17. 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,...

  18. Connecticut New Hampshire

    E-Print Network [OSTI]

    Summary Connecticut Maine Maryland Montana Nevada New Hampshire New Mexico Oregon Pennsylvania Utah CITIES: Houston, TX New York City, NY Washington, D.C. Planning & Capacity Building Activities California Illinois Massachusetts Missouri New York Washington Wisconsin Infrastructure Enhancement & Data Linkage

  19. Majors Available Connecticut

    E-Print Network [OSTI]

    Thomas, Andrew

    Technology Sustainable Agriculture Wildlife Ecology Zoology New Hampshire Bioengineering ConstructionMajors Available Connecticut Bioengineering Electrical Engineering Technology Forest Operations, Bioproducts and Bioenergy Forestry Marine Science New Media Pulp and Paper Technology* Surveying Engineering

  20. Seminar Series2014-2015 ACADEMIC YEAR Friday 2:00 p.m. to 3:00 p.m.* UConn Health Low Auditorium Video Conference to Connecticut Children's Conference Room & Jackson Labs, Bar Harbor, ME

    E-Print Network [OSTI]

    Kim, Duck O.

    Auditorium · Video Conference to Connecticut Children's Conference Room & Jackson Labs, Bar Harbor, ME WWW.CONNECTICUTCHILDRENS.ORG 282 Washington Street, Hartford, CT 06106, © 2015 Connecticut Children's Medical Center. All rights, Division of Pain and Palliative Medicine Persistent Bowel UConn Health Connecticut Children's Medical

  1. Occupational Disease in Connecticut, 2014

    E-Print Network [OSTI]

    Oliver, Douglas L.

    Occupational Disease in Connecticut, 2014 This report covers data for 2012 and was prepared under contract for the State of Connecticut Workers' Compensation Commission, John A. Mastropietro, Chairman, as part of the Occupational Disease Surveillance Program, operated in cooperation with the Connecticut

  2. The University of Connecticut Foundation,

    E-Print Network [OSTI]

    Chandy, John A.

    The University of Connecticut Foundation, Incorporated Consolidated Financial Statements June 30, 2014 and 2013 #12;The University of Connecticut Foundation, Incorporated Index June 30, 2014 and 2013 of The University of Connecticut Foundation, Incorporated: We have audited the accompanying consolidated financial

  3. GUARANTEED ADMISSION AGREEMENT THE UNIVERSITY OF CONNECTICUT

    E-Print Network [OSTI]

    Alpay, S. Pamir

    1 GUARANTEED ADMISSION AGREEMENT BETWEEN THE UNIVERSITY OF CONNECTICUT COLLEGE OF LIBERAL ARTS AND SCIENCES, COLLEGE OF AGRICULTURE AND NATURAL RESOURCES, AND SCHOOL OF BUSINESS AND THE CONNECTICUT to the State of Connecticut and to students within the state, the University of Connecticut and the Connecticut

  4. University of Connecticut Information Technology Security

    E-Print Network [OSTI]

    Alpay, S. Pamir

    University of Connecticut Information Technology Security Incident Response Plan #12;- i - Revision management issue for all organizations, including the University of Connecticut. Furthermore, as more or framework within which University of Connecticut incident handlers can work to ensure a complete

  5. UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE

    E-Print Network [OSTI]

    UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE SCHOOL OF DENTAL MEDICINE Summer Fellowship Program Application The University of Connecticut Health Center Office of Student Affairs Farmington Connecticut 06030-1905 Deadline for application: March 15th #12;College Undergraduate

  6. THE UNIVERSITY OF CONNECTICUT WATERBURY CAMPUS

    E-Print Network [OSTI]

    Alpay, S. Pamir

    1 THE UNIVERSITY OF CONNECTICUT WATERBURY CAMPUS ACADEMIC PLAN Submitted February 2007 Revised. Mission Statement The University of Connecticut's Waterbury campus promotes the personal growth programs available at the University of Connecticut. The Waterbury regional campus is committed

  7. University of Connecticut Women's Studies Program

    E-Print Network [OSTI]

    Alpay, S. Pamir

    University of Connecticut Women's Studies Program College of Liberal Arts and Sciences An Equal Opportunity Employer 354 Mansfield Road Unit Storrs, Connecticut 06269-2181 Telephone: (860) 486

  8. Connecticut's Health Impact Study Rapidly Increasing Weatherization...

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

    Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts June 18, 2014 - 10:49am...

  9. Connecticut Nuclear Profile - Power Plants

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

    Connecticut nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  10. Connecticut's Landscape:p Past, Present and Future

    E-Print Network [OSTI]

    Skelly, David Kiernan

    Connecticut's Landscape:p Past, Present and Future #12;Connecticut: 20 000 Years Before PresentConnecticut: 20,000 Years Before Present Glacial Maximum #12;Connecticut: 20 000 Years Before PresentConnecticut;Glacial Advance and Retreat #12;The Return of Life to Connecticut #12;The Return of Life to Connecticut

  11. 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...

  12. Connecticut Summary of Reported Data | Department of Energy

    Energy Savers [EERE]

    Summary of Reported Data Connecticut Summary of Reported Data Summary of data reported by Better Buildings Neighborhood Program partner Connecticut. Connecticut Summary of Reported...

  13. School of Engineering, University of Connecticut www.engr.uconn.edu Summer 2005 Connecticut Global Fuel

    E-Print Network [OSTI]

    Chandy, John A.

    School of Engineering, University of Connecticut www.engr.uconn.edu Summer 2005 Connecticut Global Connecticut citizens. The numbers speak volumes: in just six years, the School of Engineering has increased

  14. 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.

  15. Numerical Modeling of Eastern Connecticut's Visual Resources1

    E-Print Network [OSTI]

    Numerical Modeling of Eastern Connecticut's Visual Resources1 Daniel L. Civco 2/ l Submitted Conservation, The University of Connecticut, Storrs, Connecticut. / Abstract: A numerical model capable of accurately predicting the preference for landscape photographs of selected points in eastern Connecticut

  16. A Green Cleaning Program for Connecticut Facilities Legislation

    E-Print Network [OSTI]

    Oliver, Douglas L.

    A Green Cleaning Program for Connecticut Facilities Legislation Connecticut law requires state antimicrobial products are not currently regulated under this law. Purchasing Connecticut's Department the "Environmentally Preferrable Purchasing (EPP) Program." Connecticut DAS currently has contracts with vendors

  17. Abatement of Air Pollution: Connecticut Primary and Secondary Standards (Connecticut)

    Broader source: Energy.gov [DOE]

    No person shall operate a source which has a significant impact on air quality in such a manner as to cause or contribute to a violation of ambient air quality standards. Connecticut primary and...

  18. NATIONAL USES AND NEEDS FOR SEPARATED STABLE ISOTOPES IN PHYSICS, CHEMISTRY, AND GEOSCIENCE RESEARCH

    E-Print Network [OSTI]

    Zisman, M.S.

    2010-01-01

    Theodore A. Fritz Connecticut Wesleyan University Phillip H.College of Colorado Connecticut University of BridgeportState College University of Connecticut University of

  19. Moratorium on Construction of Nuclear Power Facilities (Connecticut...

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

    Moratorium on Construction of Nuclear Power Facilities (Connecticut) Moratorium on Construction of Nuclear Power Facilities (Connecticut) < Back Eligibility Agricultural Commercial...

  20. University of Connecticut Health Center School of Dental Medicine

    E-Print Network [OSTI]

    Oliver, Douglas L.

    University of Connecticut Health Center School of Dental Medicine Application for Admission of Connecticut School of Dental Medicine

  1. Actuarial Science Program University of Connecticut

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    !"""!" " " Actuarial Science Program at the University of Connecticut #12;- 2 - What is an actuary of Connecticut Actuarial Science Program began in 1976 with the creation of two new courses ­ Theory of Interest

  2. ASSISTANT DEANS Connecticut Children's Medical Center

    E-Print Network [OSTI]

    Page 12 ASSISTANT DEANS Connecticut Children's Medical Center Dr. Andrea Benin, Assistant Dean@stranciscare.org 860-714-5967 The Hospital of Central Connecticut Dr. Steven Hanks, Vice President Med. Affairs

  3. University of Connecticut Department of Chemistry

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    University of Connecticut Department of Chemistry NSF Research Experience for Undergraduates (REUREU@uconn.edu Fax: (860) 486-2981 Mail: REU Site Coordinator Department of Chemistry, University of Connecticut

  4. CAUSES OF FLUCTUATIONS IN ABUNDANCE OF CONNECTICUT

    E-Print Network [OSTI]

    CAUSES OF FLUCTUATIONS IN ABUNDANCE OF CONNECTICUT ·RIVER .SHAD BY REYNOLD A. FREDIN FISHERY effort, and tagging data which was used t.o estimate the size of the shad runs in the Connecticut River. effect on the" size of the runs entering the river," Investigation of the Connecticut River shad fishery

  5. State of Connecticut Single Audit Report

    E-Print Network [OSTI]

    Alpay, S. Pamir

    State of Connecticut Single Audit Report For the Fiscal Year Ended June 30, 2014 AUDITORS OF PUBLIC ACCOUNTS JOHN C. GERAGOSIAN ROBERT M. WARD #12;STATE OF CONNECTICUT Single Audit Report For the Year Ended ..................................................................................................1 State of Connecticut Financial Statements Independent Auditors' Report

  6. UNIVERSITY OF CONNECTICUT Office of Undergraduate Admissions

    E-Print Network [OSTI]

    Alpay, S. Pamir

    UNIVERSITY OF CONNECTICUT Office of Undergraduate Admissions Special Program in Law Recommendation persons making such recommendations on her or his behalf. The University of Connecticut does not require of recommendation along with the completed form to: Special Program in Law University of Connecticut Office

  7. UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE

    E-Print Network [OSTI]

    Oliver, Douglas L.

    UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE FACULTY MERIT PLAN Revised and Approved by the Merit with the By-Laws of the University of Connecticut and with the traditional rights and privileges of faculty to intimidate, or otherwise constrain academic freedoms expressed in By-Laws of the University of Connecticut

  8. Final version 11 April 1997 Connecticut

    E-Print Network [OSTI]

    Pollard, David

    Final version 11 April 1997 Connecticut Juror Selection East Hartford Hartford West Hartford Avon, and the whole of Section 7 and Appendix B need major revision. Report to the Connecticut Public Defender The questionnaire data 12 3 Measures of disparity 17 4 The JIS data 19 5 Federal data 26 6 Connecticut population

  9. THE UNIVERSITY OF CONNECTICUT UConn Health

    E-Print Network [OSTI]

    Kim, Duck O.

    THE UNIVERSITY OF CONNECTICUT UConn Health 2013 ANNUAL CAMPUS SECURITY & SAFETY REPORT Published and graduates of the Connecticut Police Officer Standards and Training Academy. In addition, each officer undergoes required annual in- service training, well above the minimum requirements mandated by Connecticut

  10. Commendations The University of Connecticut Police

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Commendations The University of Connecticut Police Department expects a very high level of a department uniform medal. Complaints The University of Connecticut Police Department policy is to emphasize declaration may be a violation of the law. The University of Connecticut Police Department welcomes

  11. A Connecticut jury array challenge David Pollard

    E-Print Network [OSTI]

    Pollard, David

    A Connecticut jury array challenge by David Pollard Yale University david.pollard@yale.edu http a detailed statistical study of the system used for summon- sing jurors to serve in the State of Connecticut's Superior Courts. The study was made at the request of the Connecticut Public Defender's Office, to provide

  12. UNIVERSITY OF CONNECTICUT SCHOOL OF ENGINEERING ANNUAL REPORT

    E-Print Network [OSTI]

    Alpay, S. Pamir

    #12;1 UNIVERSITY OF CONNECTICUT SCHOOL OF ENGINEERING ANNUAL REPORT 2011-2012 TABLE OF CONTENTS FOR CLEAN ENERGY ENGINEERING...................................................... 24 CONNECTICUT Energy Engineering (C2E2). The installation was funded by a federal stimulus grant from Connecticut

  13. UNIVERSITY OF CONNECTICUT SCHOOL OF ENGINEERING ANNUAL REPORT

    E-Print Network [OSTI]

    Alpay, S. Pamir

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    Broader source: Energy.gov [DOE]

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

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

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

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

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    Open Energy Info (EERE)

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    Reports and Publications (EIA)

    2004-01-01

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

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    Open Energy Info (EERE)

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    Broader source: Energy.gov [DOE]

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

    Parker, Gary B.

    BASIC CONTROL FOR FOUR ROTOR AUTONOMOUS AERIAL AGENT JONATHAN MCLEAN, CONNECTICUT COLLEGE, USA, JMMCL2@CONNCOLL.EDU GARY PARKER, CONNECTICUT COLLEGE, USA, PARKER@CONNCOLL.EDU NEWELL SEAL, CONNECTICUT

  13. Neighborhood Healthy Homes Project The University of Connecticut Center for Indoor Environments and

    E-Print Network [OSTI]

    Oliver, Douglas L.

    Neighborhood Healthy Homes Project The University of Connecticut Center for Indoor Environments and Health is a partner on the Connecticut Children's Medical Center's Neighborhood Healthy Healthy Housing Inspection Manual Center for Indoor Environments and Health, University of Connecticut

  14. 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...

  15. C:\\Users\\Jessica\\Desktop\\Application.docx University of Connecticut, School of Engineering

    E-Print Network [OSTI]

    Chandy, John A.

    C:\\Users\\Jessica\\Desktop\\Application.docx University of Connecticut, School of Engineering Pre of Connecticut during (Parent/Guardian) my son/daughter _____________________________ participation in the Pre

  16. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Second...

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

    Connecticut Transit (CTTRANSIT) in Hartford for one prototype fuel cell bus and three new diesel buses operating from the same location. 45670-2.pdf More Documents & Publications...

  17. Connecticut Transit (CTTRANSIT) Fuel Cell Transit Bus: Third...

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

    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...

  18. CONNECTICUT CHALLENGES TOWNS TO REDUCE ENERGY USE | Department...

    Energy Savers [EERE]

    Displays of Efficiency" N2N YouTube Channel PAPERS & PRESENTATIONS "Small Changes, Big Results, With the Connecticut Neighbor to Neighbor Energy Challenge" (April 19, 2011)...

  19. University of Connecticut Request to Change Undergraduate Requirement Catalog

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    University of Connecticut Request to Change Undergraduate Requirement Catalog University policy the University and then return must meet the requirements as they were when they returned. However, all

  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. Willimantic, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia:Illinois: Energy Resources Jump to: navigation, searchConnecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia:Illinois:Wizard Power Pty LtdWoodlawnWoodshedConnecticut: Energy

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia:Illinois:Wizard PowerWyandanch, New1991)Yalesville, Connecticut:

  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. Stratford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren) JumpandStereoNew York:Wisconsin:Connecticut: Energy

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainableGlynnMassachusetts:Ohio: Energy Resources Jump to: navigation,Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainableGlynn County, Georgia: EnergyGorlitz AGGranby, Connecticut: Energy

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, New York:Virginia: Energy ResourcesConnecticut: Energy Resources

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec(Pritchett, 2004) |Monee,MonroePennsylvania:WestConnecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio1975) | OpenBethlehem BiomassMassachusetts:PiuteConnecticut: Energy

  11. Forest Fragmentation in Connecticut: 1985 2006 Research Summary

    E-Print Network [OSTI]

    Alpay, S. Pamir

    in 2009, based on research done by Vogt et al. The Landscape Fragmentation Tool maps the types Forest Fragmentation in Connecticut: 1985 ­ 2006 Research Summary About the Project Forest for the fragmentation of Connecticut's forests, and how fragmentation has progressed over time, CLEAR researchers

  12. Director of Dissertation Committees (Ph.D.) 1. Mai Hamdalla, University of Connecticut (June 2014)

    E-Print Network [OSTI]

    Rajasekaran, Sanguthevar

    Director of Dissertation Committees (Ph.D.) 1. Mai Hamdalla, University of Connecticut (June 2014) 2. Tian Mi, University of Connecticut (June 2013) 3. Samir A. Mohamed Elsayed, University of Connecticut (June 2013) 4. Rania Kilany, University of Connecticut (June 2013) 5. Hieu Dinh, University

  13. School of Engineering, University of Connecticut www.engr.uconn.edu Winter 2006 Professor Pattipati Establishes

    E-Print Network [OSTI]

    Chandy, John A.

    School of Engineering, University of Connecticut www.engr.uconn.edu Winter 2006 Professor Pattipati to the bottom. How is this relevant to Connecticut? The U.S. Department of Labor ranks Connecticut, with 10 in the nation. The cumulative payroll of engineers and computer scientists in Connecticut is huge

  14. School of Engineering, University of Connecticut Winter 2004 www.engr.uconn.edu

    E-Print Network [OSTI]

    Chandy, John A.

    School of Engineering, University of Connecticut Winter 2004 www.engr.uconn.edu Also In this Issue the programmable switching industry. After graduating from the University of Connecticut, he worked for a Cambridge of the University of Connecticut Foundation Board of Directors and the University of Connecticut Foundation

  15. Merguerian, Charles; Mose, D. G., and Nagel, Susan, 1984, Late syn-orogenic Taconian plutonism along Cameron's Line, West Torrington, Connecticut.

    E-Print Network [OSTI]

    Merguerian, Charles

    along Cameron's Line, West Torrington, Connecticut. Near Torrington, Connecticut a deformed composite, 1984, Late syn- orogenic Taconian plutonism along Cameron's Line, West Torrington, Connecticut (abs

  16. 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 res

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainableGlynn County,SolarFERCInformation 3.1 -HachijojimaHaddam, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: EnergyGateway1997) | OpenRaftGeorge County,Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (UtilityInstrumentsAreafor GeothermalNorth Dakota: EnergyDuquesneConnecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbH Jump to:Providence, Rhode Island: EnergySparta,Eastford, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbH Jump to:Providence, Rhode Island:Connecticut: Energy Resources Jump

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbHFarinello Geothermal Power Station Jump to:Mutual ElectricConnecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005 WindPRO isMickeyWest EnergyMiddlefield, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: EnergyInformation MontanaOhio: EnergyMoodus, Connecticut: Energy Resources

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma,Information MHKMHK5 <Kentucky: EnergyConnecticut: Energy Resources

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder atHills,NewKeith County,Kenduskeag,KenoshaConnecticut: Energy

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNew Hampshire: Energy Resources Jump to: navigation,Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLCLtd Jump to:Changing World Technologies JumpChaplin, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-bRenewableSMUD Wind Farm JumpSMUDSaintSakti3Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbHSoloPage EditStamford, Connecticut: Energy Resources

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex AAustria Geothermal Region JumpFacility |Alabama:Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformation BeaufortBentMichigan: EnergyCensus Area,Bethel,Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: EnergyEnergy Information Bronze BootConnecticut: Energy

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company) JumpIowa: Energy Resources Jump to:New York:Connecticut:

  15. Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company)| Open(Evans, Et Al.,Information 3rdConnecticut: Energy

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,CammackFLIR JumpMaine:West Virginia: Energy Resources JumpSouthConnecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho)VosslohWestConnecticut: Energy Resources Jump to:

  18. Connecticut Light and Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures JumpCommercialRenewable Services GmbH JumpConneautConnecticut

  19. Categorical Exclusion Determinations: Connecticut | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a lCaribElectric powerMeasures to reduce migrationConnecticut.

  20. Aquatic habitat enhancements for Mad River and Beaver Pond Brook in conjunction with the reconstruction of I-84, Waterbury, Connecticut

    E-Print Network [OSTI]

    Nyman, David, C.

    2003-01-01

    for state agencies in Connecticut and Maine. References ASCEOF I-84, WATERBURY, CONNECTICUT David C. Nyman, P.E. (Phone:for I-84 in Waterbury, Connecticut, reaches of Mad River and

  1. University of Connecticut Health Center STUDENT HEALTH INSURANCE ENROLLMENT FORM

    E-Print Network [OSTI]

    by the University of Connecticut through Consolidated Health Plans (CHP)/Cigna. I acknowledge that the charge ************************************************************************************************** BAILEY AGENCIES USE ONLY Sent to Enrollment/CHP Confirmed by CHP Logged Bailey List- master Logged Epic

  2. 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.

  3. Rev. 6/15 Summer & Winter Programs | UNIVERSITY OF CONNECTICUT Office of Summer & Winter Programs

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    Rev. 6/15 Summer & Winter Programs | UNIVERSITY OF CONNECTICUT Office of Summer & Winter Programs/15 Summer & Winter Programs | UNIVERSITY OF CONNECTICUT Summer/Winter Term Appeal Form Additional

  4. Counterfeit IC Detection and Challenges Ahead Ujjwal Guin, University of Connecticut

    E-Print Network [OSTI]

    Tehranipoor, Mohammad

    Counterfeit IC Detection and Challenges Ahead Ujjwal Guin, University of Connecticut Mohammad Tehranipoor, University of Connecticut Dan DiMase, Chairman - SAE G-19A, Test Laboratory Standards Development

  5. PROFESSIONAL LIABILITY LETTER All physicians in residency/fellowship programs sponsored by the University of Connecticut

    E-Print Network [OSTI]

    /fellowship programs sponsored by the University of Connecticut School of Medicine are fully protected by state statute. Rotations at approved sites outside of Connecticut are contained within this category. Notwithstanding

  6. CONSENT AND RELEASE FORM I, (student)_________________ hereby authorize the University of Connecticut and those

    E-Print Network [OSTI]

    Chandy, John A.

    of Connecticut and those acting pursuant to its authority ( "University") to record my likeness and/or voice

  7. DESCRIPTION OF HOSPITALS IN THE GREATER HARTFORD AREA Connecticut Children's Medical Center

    E-Print Network [OSTI]

    Page 27 DESCRIPTION OF HOSPITALS IN THE GREATER HARTFORD AREA Connecticut Children's Medical Center Connecticut Children's Medical Center (CCMC) is a nationally recognized, 187-bed not-for- profit children's hospital serving as the primary teaching hospital for the University of Connecticut School of Medicine

  8. Revision Date: 06/16/04 UNIVERSITY OF CONNECTICUT HEALTH CENTER

    E-Print Network [OSTI]

    Oliver, Douglas L.

    Revision Date: 06/16/04 UNIVERSITY OF CONNECTICUT HEALTH CENTER CORRECTIONAL MANAGED HEALTH CARE POLICY AND PROCEDURES FOR USE WITHIN THE CONNECTICUT DEPARTMENT OF CORRECTION NUMBER: A 1.01 Page 1 of 1 ACCESS TO HEALTH CARE Effective Date: 04/01/01 POLICY: University of Connecticut Health Center (UCHC

  9. Don't Let Connecticut's Trash Plants Go Private April 19, 2006

    E-Print Network [OSTI]

    Columbia University

    Don't Let Connecticut's Trash Plants Go Private April 19, 2006 JONATHAN BILMES In 1998, the Connecticut General Assembly passed legislation deregulating the electric industry. While the move toward consumers a choice of affordable electricity providers - virtually everyone acknowledges, in Connecticut

  10. the average weight of Connecticut River fish was considerably less (Table 1). The difference in average

    E-Print Network [OSTI]

    the average weight of Connecticut River fish was considerably less (Table 1). The difference in the Connecticut River basin. Fisheries (Bethesda) 7(6): 2-11. POTTER. I. C.· F. W. H. BEAMISH, AND B. G. H. Freshwater fishes of Connecticut. State Geol. Nat. Hist. Servo Conn.· Dep. Environ. Prot., Bull. 101, 134 p

  11. 263 Farmington Avenue Farmington, Connecticut 06030-2806 An Equal Opportunity Employer

    E-Print Network [OSTI]

    263 Farmington Avenue · Farmington, Connecticut 06030-2806 · An Equal Opportunity Employer@adp.uchc.edu COOPERATING INSTITUTION CONSORTIUM STATEMENT The University of Connecticut Health Center proposes-GRANTEE: University of Connecticut Health Center UCHC Principal Investigator: Department and Org. #: Phone: Email

  12. TIPS FOR TAKING MEDICINE SAFELY FROM THE CONNECTICUT POISON CONTROL CENTER

    E-Print Network [OSTI]

    Oliver, Douglas L.

    TIPS FOR TAKING MEDICINE SAFELY FROM THE CONNECTICUT POISON CONTROL CENTER Follow the 5 rights when ingestion, don't wait for symptoms to appear; call the Connecticut Poison Control Center at 1-800-222-1222. For more poison prevention tips go to the Connecticut Poison Control website at http

  13. Early Jurassic eolian dune field, Pomperaug basin, Connecticut and related synrift deposits

    E-Print Network [OSTI]

    LeTourneau, Peter M.

    Early Jurassic eolian dune field, Pomperaug basin, Connecticut and related synrift deposits eolian sandstone in the Pomperaug basin, Connecticut is noteworthy because it is the most significant from the Hartford (Connecticut, USA), Fundy (Nova Scotia, Canada), and Argana (Morocco) basins. Using

  14. Great Spaces of Rock: The Traprock Ridgelands of the Central Connecticut Valley

    E-Print Network [OSTI]

    LeTourneau, Peter M.

    Great Spaces of Rock: The Traprock Ridgelands of the Central Connecticut Valley Photography Ridgelands of the Central Connecticut Valley Photography by Robert Pagini With essays by Peter M. Le and bad, to the beauty, joy, and solace of the Traprock Ridgelands of the central Connecticut Valley. Born

  15. GEOLOGY IN THE VICINITY OF THE HODGES COMPLEX AND THE TYLER LAKE GRANITE, WEST TORRINGTON, CONNECTICUT

    E-Print Network [OSTI]

    Merguerian, Charles

    , CONNECTICUT Charles Merguerian, Geology Department 114 Hofstra University, Hempstead, NY 11549 Email: Charles workers in western Connecticut have noted the abundance of Proterozoic Y gneiss and autochthonous lower Torrington, Connecticut, the Hodges mafic- ultramafic complex and the Tyler Lake granite are the products

  16. WELCOME TO GRADUATE MEDICAL EDUCATION AT THE UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE

    E-Print Network [OSTI]

    Page 21 WELCOME TO GRADUATE MEDICAL EDUCATION AT THE UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE. The University Of Connecticut School Of Medicine is committed to excellence in education, medical care with the goal of providing safe and appropriate patient care. The University Of Connecticut School Of Medicine

  17. Introduction Connecticut has a wealth of resources and services that can assist all students

    E-Print Network [OSTI]

    Oliver, Douglas L.

    July 2013 Introduction Connecticut has a wealth of resources and services that can assist all: A Comprehensive Guide to Resources and Services in Connecticut is an opportunity for educators, students and families throughout Connecticut to identify and access these secondary transition planning resources

  18. UNIVERSITY OF CONNECTICUT PEDIATRIC RESIDENCY PROGRAM Policy on Eligibility of Pediatric Residents

    E-Print Network [OSTI]

    Oliver, Douglas L.

    UNIVERSITY OF CONNECTICUT PEDIATRIC RESIDENCY PROGRAM Policy on Eligibility of Pediatric Residents In order to be eligible to be a pediatric resident in the University of Connecticut program, applicants a full unrestricted license to practice medicine in Connecticut. 4. Graduate of medical schools outside

  19. The Lichens of Aton Forest, Connecticut Author(s): Mason E. Hale, Jr.

    E-Print Network [OSTI]

    LeTourneau, Peter M.

    The Lichens of Aton Forest, Connecticut Author(s): Mason E. Hale, Jr. Source: The Bryologist, Vol OF ATON FOREST THE LICHENS OF ATON FOREST, CONNECTICUT MASONE. HALE, JR. INTRODUCTION During the summer, CONNECTICUT MASONE. HALE, JR. INTRODUCTION During the summer of 1949 the author studied the lichens of Aton

  20. 116 American Entomologist Summer 2005 Ground Beetles of Connecticut (Coleoptera: Carabidae,

    E-Print Network [OSTI]

    Sikes, Derek S.

    116 American Entomologist · Summer 2005 Ground Beetles of Connecticut (Coleoptera: Carabidae and Natural History Survey, Connecticut Depart- ment of Environmental Protection, Hartford 2001, 308 pp. Price, William Krinsky and Michael Oliver treat this diverse group for the state of Connecticut, providing

  1. University of Connecticut Provost Dr. Peter Nicholls, along with a delegation of

    E-Print Network [OSTI]

    Chandy, John A.

    University of Connecticut Provost Dr. Peter Nicholls, along with a delegation of university with the University of Connecticut. The DITE partnership is one component of the Middle East Partnership Initiative exceptional students who have a demonstrat- ed financial need. Dr. Pattipati is a University of Connecticut

  2. OLENDER REPORTING, INC. 1100 Connecticut Avenue NW, #810, Washington, DC 20036

    E-Print Network [OSTI]

    1 OLENDER REPORTING, INC. 1100 Connecticut Avenue NW, #810, Washington, DC 20036 Washington: 202 Avenue17 Washington, D.C.18 19 20 21 22 #12;2 OLENDER REPORTING, INC. 1100 Connecticut Avenue NW, #810 #12;3 OLENDER REPORTING, INC. 1100 Connecticut Avenue NW, #810, Washington, DC 20036 Washington: 202

  3. UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE Pediatric Surgical Subspecialities Annual Report 2010-2011

    E-Print Network [OSTI]

    Kim, Duck O.

    UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE Pediatric Surgical Subspecialities Annual Report 2010 the Department of Pediatric Surgical Subspecialties of Connecticut Children's Medical Center. Over the last year the children of our community. Connecticut Children's Medical Center remains the exclusive site for pediatric

  4. Directions to the University of Connecticut Storrs Campus From Bradley International Airport

    E-Print Network [OSTI]

    Olshevsky, Vadim

    Directions to the University of Connecticut ­ Storrs Campus From Bradley International Airport on Connecticut Route 195 about 6 miles to the University. (You will come to the intersection of Rt. 195 and Rt of the exit ramp. Travel south on Connecticut Route 195 about 6 miles to the University. (You will come

  5. University of Connecticut Stem Cell Core Registration Application for Human Embryonic Stem Cell Culture Training

    E-Print Network [OSTI]

    University of Connecticut Stem Cell Core Registration Application for Human Embryonic Stem Cell: (required) Date: #12;University of Connecticut Stem Cell Core Registration Application for Human Embryonic copy to: Internal Mail: MC-3301 OR Mail: UConn Stem Cell Core University of Connecticut Health Center

  6. APPLICATION FOR IN-STATE TUITION Instate tuition rates are a privilege authorized by the Connecticut General Statutes and are

    E-Print Network [OSTI]

    Kim, Duck O.

    by the Connecticut General Statutes and are awarded only upon successful application for instate tuition. Generally, as defined by Connecticut law, their parents or guardian) must be domiciled in the state of Connecticut. This means that Connecticut must be the individual's true, fixed and permanent home and place of habitation

  7. APPLICATION FOR In-state tuition rates are a privilege authorized by the Connecticut General Statutes and are

    E-Print Network [OSTI]

    Alpay, S. Pamir

    APPLICATION FOR In-state tuition rates are a privilege authorized by the Connecticut General is eligible for in-state tuition emancipated student who is domiciled in Connecticut; (2) as an unemancipated student whose parents are domiciled in Connecticut; (3) as a Connecticut resident who attended four years

  8. Geological Society of America Centennial Field Guide--Northeastern Section, 1987 The Geology of Cameron's Line, West Torrington, Connecticut

    E-Print Network [OSTI]

    Merguerian, Charles

    of Cameron's Line, West Torrington, Connecticut Charles Merguerian, Geology Department, Hofstra University, Connecticut, and consists of two stops in the West Torrington 7 ½-minute quadrangle (Fig. 1). They can be reached from Exit 44 of Connecticut 8 by traveling southwestward on Connecticut 202 (East Main Street

  9. WHAT CONNECTICUT COULD FACE Bracing for Climate Change

    E-Print Network [OSTI]

    by the Energy Foundation and the Emily Hall Tremaine Foundation. We gratefully acknowledge the comments and all staff at Connecticut Fund for the Environment (CFE), Madeline Weil (New Haven Community Clean Air Initiative), Haider Taha (Lawrence Berkeley National Laboratory), and Jim Marston, Eric Haxthausen, and Tim

  10. 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.

  11. 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.

  12. Copyright 2013 University of Connecticut, All rights reserved. S. Demurjian and R. Saripalle. Supplemental Information for "A Software Modeling Approach to Ontology Design via

    E-Print Network [OSTI]

    Demurjian, Steven A.

    Copyright © 2013 University of Connecticut, All rights reserved. S. Demurjian and R. Saripalle ontology #12; Copyright © 2013 University of Connecticut, All rights reser

  13. The Sweet Taste of Defeat: American Electric Power Co v. Connecticut and Federal Greenhouse Gas Regulation

    E-Print Network [OSTI]

    Trisolini, Katherine A.

    2012-01-01

    contribute findings for greenhouse gases under section 202(Connecticut and Federal Greenhouse Gas Regulation KatherineWHAT NEXT? REDUCING GREENHOUSE GASES THROUGH STATE PUBLIC

  14. 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.

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy Resources JumpChicago,Islip,PointSimsbury, Connecticut:

  16. Westbrook Center, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy ResourcesTurin, New York:Westbrook Center, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky:BoreOpenGilliam County,Glastonbury Center, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk,Sage Resources JumpDimas,Rey,Sanctuary,Sandown,Hook, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSiliciumEnergyHouston,Windsor, Connecticut: Energy Resources

  20. South Woodstock, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSiliciumEnergyHouston,Windsor, Connecticut: EnergyWoodstock,

  1. Southwood Acres, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren) Jump to: navigation,Southwood Acres, Connecticut: Energy

  2. Connecticut Fuel Cell Programs - From Demonstration to Deployment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels|ProgramsLake Paiute ReservationResourcesMarch2 DOE1 Connecticut

  3. CHOOSING A CHARGING STATION USING SOUND IN COLONY ROBOTICS GARY PARKER, CONNECTICUT COLLEGE, USA, PARKER@CONNCOLL.EDU

    E-Print Network [OSTI]

    Parker, Gary B.

    CHOOSING A CHARGING STATION USING SOUND IN COLONY ROBOTICS GARY PARKER, CONNECTICUT COLLEGE, USA, PARKER@CONNCOLL.EDU OZGUR IZMIRLI, CONNECTICUT COLLEGE, USA, OIZM@CONNCOLL.EDU ABSTRACT This research

  4. Merguerian, Charles, 1996a, Cameron's Line mylonite zone in Connecticut and New York City -evidence for Taconian accretionary tectonics.

    E-Print Network [OSTI]

    Merguerian, Charles

    Merguerian, Charles, 1996a, Cameron's Line mylonite zone in Connecticut and New York City, Charles, 1996a, Cameron's Line mylonite zone in Connecticut and New York City - evidence for Taconian miogeoclinal basement-cover rocks. Based on surface- and subsurface mapping in the New York-Connecticut segment

  5. PRIVACY AND CONFIDENTIALITY OF PATIENT INFORMATION The University of Connecticut School of Medicine (UConn SOM) and affiliated sites establish

    E-Print Network [OSTI]

    Page 148 ` PRIVACY AND CONFIDENTIALITY OF PATIENT INFORMATION The University of Connecticut School patient information that is protected from disclosure by both Connecticut and federal laws in all respects with both Connecticut and federal laws, such as HIPAA. For the UConn Health's full policy

  6. DESCRIPTION OF SPONSORING INSTITUTION The University of Connecticut School of Medicine (UConn SOM) is the sponsoring institution for

    E-Print Network [OSTI]

    Page 26 DESCRIPTION OF SPONSORING INSTITUTION The University of Connecticut School of Medicine/fellows. These hospitals include Connecticut Children's Medical Center, Hartford Hospital/Institute of Living, Hospital Connecticut, and the Veteran's Hospital-Newington campus. These seven hospitals make up the Capital Area

  7. School of Engineering, University of Connecticut www.engr.uconn.edu Winter 2005 Also In this Issue

    E-Print Network [OSTI]

    Chandy, John A.

    School of Engineering, University of Connecticut www.engr.uconn.edu Winter 2005 Also In this Issue: Engineering Jobs and Engineering Education in Connecticut see page 2 The Stanley Works Establishes see page 6 #12;The state of engineering education made recent headline news in Connecticut when

  8. School of Engineering, University of Connecticut www.engr.uconn.edu Summer 2004 Also In this Issue

    E-Print Network [OSTI]

    Chandy, John A.

    School of Engineering, University of Connecticut www.engr.uconn.edu Summer 2004 Also In this Issue Their Stuff 21ST Annual Connecticut Invention Convention Held in Storrs see page 9 #12;INTHISISSUE Professor by the Office of the Dean, School of Engineering at the University of Connecticut. 261 Glenbrook Road, Unit 2237

  9. Connecticut Controlled Substance Number (CSR) The State Department of Consumer Protection mandates that all residents/fellows (with or

    E-Print Network [OSTI]

    Page 55 Connecticut Controlled Substance Number (CSR) The State Department of Consumer Protection of Connecticut must be registered to prescribe any controlled substance to any patient. This is different than of Connecticut when renewal is required. Residents/fellows are required to renew their biennial registration

  10. University of Connecticut / Jason Pufahl, CISSP, CISM 1 INFORMATION SECURITY STRATEGIC

    E-Print Network [OSTI]

    Alpay, S. Pamir

    University of Connecticut / Jason Pufahl, CISSP, CISM 1 1 INFORMATION SECURITY STRATEGIC PLAN, CISSP, CISM 2 2 MISSION STATEMENT The mission of the Information Security Office (ISO) is to design ­ IMPLEMENTATION CYCLE #12;University of Connecticut / Jason Pufahl, CISSP, CISM 3 3 GOVERNANCE In recognition

  11. University of Connecticut Health Center Policy for Transporting, Shipping, Importing / Exporting Hazardous Materials

    E-Print Network [OSTI]

    Kim, Duck O.

    Hazardous Materials Policy The University of Connecticut Health Center requires that all materials classified as "hazardous materials" by the U.S. Department of Transportation and/or the State of Connecticut be transported in approved containers and in compliance with all transportation regulations. Hazardous materials

  12. file:///Users/bkatten/Desktop/Conn%20vs%20Wesleyan%2011Results.htm[1/22/11 4:41:18 PM] Licensed to Connecticut College HY-TEK's MEET MANAGER 3.0 1/22/2011 03:50 PM

    E-Print Network [OSTI]

    Royer, Dana

    , Julia M 28.35 31.46 27.51 24.72 2 Connecticut College-CT 'B' 1:53.53 1) Bohn, Rachel M 2) Ridge, Abbey M:57.86 1) Goettsche, Emily R 2) Lemon, Tess P 3) Pak, Autumn D 4) Anderson, Ally M 31.37 32.12 28.82 25.55 4 Wesleyan University-CT 'B' 2:00.80 1) Toledo, Rhyan J 2) Capron, Rosy R 3) Bollinger, Eliza M 4

  13. FRONTIERSSPRING03Volume 14, Number 1 A Publication for the Alumni and Friends of the School of Engineering, University of Connecticut

    E-Print Network [OSTI]

    Chandy, John A.

    of Engineering, University of Connecticut www.engr.uconn.edu Engineering Establishes Homeland Security Center in Connecticut Construction Career Days 15 School Welcomes New Faculty and Staff 16 Faculty Test in Zero-G 19 DOE, School of Engineering at the University of Connecticut. 261 Glenbrook Road, Unit 2237 Storrs, Connecticut

  14. frontiersA Publication for the Alumni and Friends of the School of Engineering, University of Connecticut www.engr.uconn.edu

    E-Print Network [OSTI]

    Chandy, John A.

    of Connecticut www.engr.uconn.edu School of Engineering, University of Connecticut Winter 2002 Volume 13, Number the University of Connecticut. Another important development has been our creation of a new center of excellence dedicated to fuel cell research and applications, the Connecticut Global Fuel Cell Center (see page 4

  15. frontiersA Publication for the Alumni and Friends of the School of Engineering, University of Connecticut www.engr.uconn.edu

    E-Print Network [OSTI]

    Chandy, John A.

    of Connecticut www.engr.uconn.edu School of Engineering, University of Connecticut Summer 2001 Volume 13, Number 1 Engineering Honors Top Alumni & Friends frontiers Connecticut School Children Flex Creative Muscles at Invention Convention Connecticut School Children Flex Creative Muscles at Invention Convention

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall toUranium MarketingYear Jan Feb MarYearX I AYear JanConnecticut

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbH Jump to: navigation, searchEarthcare ProductsBrooklyn, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures LtdNeville, Ohio: Energy Resources JumpBritain, Connecticut: Energy

  19. New Haven County, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures LtdNeville, Ohio: EnergyHaven County, Connecticut: Energy Resources

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures LtdNeville, Ohio: EnergyHaven County, Connecticut: Energy

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNew Hampshire:source History View New PagesGranby, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNewSt. Louis,EnergyOctillionEdisonOkmulgeeSaybrook, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler,CoalConcordia Electric Coop,ConsolidatedEnergyConnecticut) Jump

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler, Iowa (UtilityIowa PhoneNewfolden,Nixa,Norwich, Connecticut

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc JumpHeter BatterySolarfin Jump to:SolkarSectorCompany (Connecticut) Jump to:

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels|ProgramsLake Paiute ReservationResourcesMarch2 DOE1 Connecticut Fuel

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,Cammack Village, Arkansas: EnergyCounty, Tennessee:Valley, Connecticut:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformationBio-GasIllinois: EnergyHills, Connecticut: Energy Resources Jump

  9. Covanta Mid-Connecticut Energy Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company)|Alabama: Energy Resources Jump to:|BabylonMid-Connecticut

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho)VosslohWestConnecticut:WindLuhrs GmbH Co

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation,National MarineUSAIDCanaan, Connecticut: Energy Resources

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thIWalterOptimizing Photovoltaic MaterialsColoradoConnecticut

  13. 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...

  14. -CT CT)Computed Tomography(. ,. , -100 ,

    E-Print Network [OSTI]

    Pinsky, Ross

    sigma . ." , : ·B.sc "BA- · " Lean/six sigma - ·-Green/Black Belt ·. · , , .' , ·" . " * . : ·) B.A ,(-. ·4-6. ·) QFD, CtQ breakdown, DfSS, SPC, AQP, FMEA, Control Plan.( ·Six Sigma GB/EE/Mechanics/Physics/SW/Algorithms/Materials /Application Development) · · - · · Process Improvement Engineer : · . · -six

  15. 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.

  16. Vision for the University of Connecticut Technology Park Materials Discovery, Product Design & Development

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    · Additive Manufacturing and Nanoscale Processing · Fuel Cells, Sustainable Energy & Energy Management & Development and Advanced Manufacturing: Partnering with Industry to Accelerate Manufacturing Innovation for the Tech Park which will house the Connecticut Collaboratory for Materials & Manufacturing (C2M2

  17. NFolkstoneCt PepperPikeRd

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Sturbridge Ct Paisley Ct CedarBendDr Stanton Ct BonisteelBlvd Middleton Dr Pointe Ln Charter Pl Larchmont Dr

  18. 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.

  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. PRE-DATED TIME SHEET -SUMMER 2015 THE UNIVERSITY OF CONNECTICUT IN OUT IN OUT IN OUT IN OUT

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    PRE-DATED TIME SHEET - SUMMER 2015 A.M. P.M. Daily Total Hours THE UNIVERSITY OF CONNECTICUT IN OUT TO: THE UNIVERSITY OF CONNECTICUT, OFFICE OF STUDENT FINANCIAL AID SERVICES, 233 GLENBROOK ROAD, U OF CONNECTICUT IN OUT IN OUT IN OUT IN OUT STUDENT PAYROLL-TIME SHEET FRI 05-29-15 SAT 05-30-15 Pay Period: 05

  1. GRADUATION/SEPARATION REQUIREMENTS In order to graduate from a residency/fellowship program at the University of Connecticut School of

    E-Print Network [OSTI]

    at the University of Connecticut School of Medicine, a resident/fellow must: have passed USMLE Step 3, COMLEX Step program at the University of Connecticut School of Medicine. If a resident/fellow leaves a residency

  2. New England Real Estate Journal February 21 -27, 2014 11BVisit the paper online nerej.com Connecticut MetroHartford Alliance/Greater Hartford County

    E-Print Network [OSTI]

    Oliver, Douglas L.

    .com Connecticut MetroHartford Alliance/Greater Hartford County MetroHartford Alliance Sandra Johnson Metro Connecticut-Israel Technology Summit. Thiseventbroughttogether CEO's from Israel who interfaced with Connecticut leaders, venture capitalists, academia and business. These attendees not only flew in from Israel

  3. 112 BULLETIN O F THE UNITED STATES FISH COMMIBSION. SI.--OATCR O F SHAD I N CONNECTICUT P O R 1897.

    E-Print Network [OSTI]

    112 BULLETIN O F THE UNITED STATES FISH COMMIBSION. SI.--OATCR O F SHAD I N CONNECTICUT P O R 1897 ...................................................... 27 Connecticut River and tributaries : Hauling. The first shad was caught April 18 in the Connecticut River, 5 miles from the mouth. The mason closed

  4. A Publication of the Haskins Literacy Initiative Volume 1, Number 1 Summer 2007 ore than half of 4th graders in Connecticut read below grade level,

    E-Print Network [OSTI]

    of 4th graders in Connecticut read below grade level, whatever their race, means or gender, and economically. In Connecticut, forecasts for future prison construction are based on Grade 3 reading failure is being delivered in a growing number of schools in Connecticut--with promising results. Understanding how

  5. Revised Dates: 12/20/01, 6/11/02, 01/15/03; 07/25/12 UNIVERSITY OF CONNECTICUT HEALTH CENTER

    E-Print Network [OSTI]

    Oliver, Douglas L.

    Revised Dates: 12/20/01, 6/11/02, 01/15/03; 07/25/12 UNIVERSITY OF CONNECTICUT HEALTH CENTER CORRECTIONAL MANAGED HEALTH CARE POLICY AND PROCEDURES FOR USE WITHIN THE CONNECTICUT DEPARTMENT OF CORRECTION and maintained by University of Connecticut Health Center (UCHC), Correctional Managed Health Care (CMHC

  6. THIS FORM IS FOR THE EXCLUSIVE USE OF UNIVERSITY OF CONNECTICUT HEALTH CENTER AND SHOULD NOT BE DISCLOSED OR DISTRIBUTED TO OUTSIDE PARTIES. Revised 7/8/05

    E-Print Network [OSTI]

    Oliver, Douglas L.

    THIS FORM IS FOR THE EXCLUSIVE USE OF UNIVERSITY OF CONNECTICUT HEALTH CENTER AND SHOULD NOT BE DISCLOSED OR DISTRIBUTED TO OUTSIDE PARTIES. Revised 7/8/05 University of Connecticut Health Center Alien withholding and reporting purposes only. This information will allow the University of Connecticut Health

  7. THIS FORM IS FOR THE EXCLUSIVE USE OF UNIVERSITY OF CONNECTICUT HEALTH CENTER AND SHOULD NOT BE DISCLOSED OR DISTRIBUTED TO OUTSIDE PARTIES. Revised 1/6/05

    E-Print Network [OSTI]

    Oliver, Douglas L.

    THIS FORM IS FOR THE EXCLUSIVE USE OF UNIVERSITY OF CONNECTICUT HEALTH CENTER AND SHOULD NOT BE DISCLOSED OR DISTRIBUTED TO OUTSIDE PARTIES. Revised 1/6/05 University of Connecticut Health Center Alien withholding and reporting purposes only. This information will allow the University of Connecticut Health

  8. MEGAN H. MCCUSKER 56 Beechwood Dr New Britain, CT 06040 (860) 803-5053

    E-Print Network [OSTI]

    Ouimet, Will

    Concentration: Fluvial Geomorphology. University of Connecticut. Thesis: The Geomorphic Downstream Effect of Low-Head

  9. CT NC0

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and Myers Co -VANaval ,, *' ;x-L* d! CT NC0 - i , ,.

  10. 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.

  11. Will Connecticut Thrive in an Uncertain World: Exchange Volatility, Shifting Labor Markets,

    E-Print Network [OSTI]

    Alpay, S. Pamir

    , And Collapsing Oil Prices The Connecticut Economic Outlook: February 2015 Peter E. Gunther, Senior Research of the monetary union itself--a stunning fall in not just oil prices, but most commodities, and nearly and memory, as well as medical treatments to extend life, all providing consumers with manifold choices

  12. CONTINUOUS POWER SUPPLY FOR A ROBOT COLONY GARY PARKER, CONNECTICUT COLLEGE, USA, parker@conncoll.edu

    E-Print Network [OSTI]

    Parker, Gary B.

    -prey issues). A continuous power supply offers the benefit of reducing possible human intervention in the lifeCONTINUOUS POWER SUPPLY FOR A ROBOT COLONY GARY PARKER, CONNECTICUT COLLEGE, USA, parker, kanor@conncoll.edu ABSTRACT A continuous power supply for the robots of a colony is presented

  13. Abbott, Albert G., Professor, Genetics and Biochemistry. BS, University of Connecticut, 1976; PhD, Brown

    E-Print Network [OSTI]

    Stuart, Steven J.

    of Connecticut, 1976; PhD, Brown University, 1980 Abbott, Sherrie Wilder, Lecturer, School of Nursing. BSN, Emory Abramovitch, Rudolph A., Professor, Chemistry. BS, Alexandria University (Egypt), 1950; PhD, 1953, DSc, 1964 (England), 1962; MS, Clemson University, 1963; PhD, Nottingham Trent University (England), 1967 Adams

  14. 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.

  15. THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL, UMG/UCHP

    E-Print Network [OSTI]

    Oliver, Douglas L.

    residents whose household income does not exceed 250% of the Federal Income Poverty Guidelines for a family of Connecticut legal residents whose household income does not exceed 250% of the Federal Income Poverty of income to qualify for charity care. Federal Income Poverty Guidelines will be adjusted annually based

  16. Goal Setting: Enhancing Academic Attitudes and Achievement in High School Gifted Underachievers

    E-Print Network [OSTI]

    Sivaraman, Rhonda Czapla

    2012-01-01

    Talented: The University of Connecticut. Atkinson, J. W. (the pattern. , University of Connecticut, Storrs, CT.and Talented, The University of Connecticut, University of

  17. Wheelabrator Bridgeport Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: EnergyMaryland: EnergyWexford County,Wheaton,

  18. Bridgeport, Michigan: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: Energy ResourcesCounty, Texas:Brewer, Maine:Brice,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: Energy ResourcesCounty, Texas:Brewer, Maine:Brice,New York:

  20. Bridgeport, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: Energy ResourcesCounty, Texas:Brewer, Maine:Brice,New York:Texas:

  1. 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.

  2. School of Dental Medicine Academic Plan As an integral member at the University of Connecticut, the School of Dental Medicine is committed to

    E-Print Network [OSTI]

    Oliver, Douglas L.

    as the University of Connecticut's Academic Plan. The SDM Academic Plan includes six major Goals or domains, relatedSchool of Dental Medicine Academic Plan 2011-2016 As an integral member at the University of Connecticut, the School of Dental Medicine is committed to fulfillment of both its unique aspirations

  3. Limited View Angle Iterative CT Reconstruction

    E-Print Network [OSTI]

    . Connelly, "CT Technologies," in Aspects of Explosives Detection, Elsevier 2009. Dual energy CT Z. Ying, R. Nam and C. R. Crawford, "Dual energy computed tomography for explosive detection," Journal of X

  4. 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.

  5. 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.

  6. 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.

  7. The New York Stem Cell Foundation Requests Applications from researchers in New York, New Jersey, and Connecticut for

    E-Print Network [OSTI]

    The New York Stem Cell Foundation Requests Applications from researchers in New York, New Jersey invites applications from postdoctoral fellows at institutions within New York, New Jersey at an academic institution in New York, New Jersey, or Connecticut Be a U.S. citizen, U.S. legal resident

  8. Lender Selection Policy The University of Connecticut maintains a list of suggested alternative (private loan) lenders that we

    E-Print Network [OSTI]

    Lender Selection Policy The University of Connecticut maintains a list of suggested alternative (private loan) lenders that we believe offer competitive pricing, easy loan processing, and strong customer service. You may choose one of our suggested lenders or any other lender who participates in the private

  9. Economic Impact Analysis of CPV Towantic, LLC's Construction and Operation of an 805 MW Electricity Generation Facility in Oxford, CT

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Economic Impact Analysis of CPV Towantic, LLC's Construction and Operation of an 805 MW, 2015 #12;Connecticut Center for Economic Analysis Page 2 of 25 University of Connecticut EXECUTIVE SUMMARY CPV Towantic, LLC (CPV) engaged the Connecticut Center for Economic Analysis (CCEA) to develop

  10. John R. Harrison, Ph.D. 1978 B.A. Salem State College, Salem, MA Biology

    E-Print Network [OSTI]

    Oliver, Douglas L.

    .D. The University of Connecticut, Storrs, CT Physiology Academic Appointments 1980-84 Graduate Teaching Assistant, University of Connecticut, Storrs, CT 1980-86 Doctoral Student, University of Connecticut, Storrs, CT 1986-90 Postdoctoral Fellow, University of Connecticut Health Center, Farmington, CT 1990-99 Assistant Professor

  11. 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.

  12. INSTRUCTIONS: Complete this form if you wish to establish, change, or cancel a direct deposit account with the State of Connecticut. Please note that this form will affect payments issued from all State payrolls regardless of agency. If you have any quest

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    account with the State of Connecticut. Please note that this form will affect payments issued from all the University of Connecticut Payroll Department at (860) 486-2423. SECTION I EMPLOYEE INFORMATION SECTION II OF CONNECTICUT ("STATE") TO ELECTRONICALLY DEPOSIT ALL DEDUCTION MONIES OWED TO ME TO THE BANK NAMED ABOVE

  13. United States Department of the Interior, Stewart L. Udall, Secretary Bureau of Commercial Fisheries, Donald L. McKernan, Director

    E-Print Network [OSTI]

    (can machinery) Bridge Food Machine Company Philadelphia, Pa. (fillers for ground and semi- fluid Engine & Machinery Co . 600 Florida San Diego, California (fish processing machinery) Food MachinerySCO, California (vacuum filling machinery) Max Arns Machine Company City Line Bridgeport 5, Connecticut (can

  14. 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]).

  15. Community Energy Systems and the Law of Public Utilities. Volume Nine. Connecticut

    SciTech Connect (OSTI)

    Feurer, D A; Weaver, C L

    1981-01-01

    A detailed description of the laws and programs of the State of Connecticut governing the regulation of public energy utilities, the siting of energy generating and transmission facilities, the municipal franchising of public energy utilities, and the prescription of rates to be charged by utilities including attendant problems of cost allocations, rate base and operating expense determinations, and rate of return allowances. These laws and programs are analyzed to identify impediments which they may present to the implementation of Integrated Community Energy Systems (ICES). This report is one of fifty-one separate volumes which describe such regulatory programs at the Federal level and in each state as background to the report entitled Community Energy Systems and the Law of Public Utilities - Volume One: An Overview. This report also contains a summary of a strategy described in Volume One - An Overview for overcoming these impediments by working within the existing regulatory framework and by making changes in the regulatory programs to enhance the likelihood of ICES implementation.

  16. 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.

  17. Respiratory correlated cone beam CT

    SciTech Connect (OSTI)

    Sonke, Jan-Jakob; Zijp, Lambert; Remeijer, Peter; Herk, Marcel van [Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam (Netherlands)

    2005-04-01

    A cone beam computed tomography (CBCT) scanner integrated with a linear accelerator is a powerful tool for image guided radiotherapy. Respiratory motion, however, induces artifacts in CBCT, while the respiratory correlated procedures, developed to reduce motion artifacts in axial and helical CT are not suitable for such CBCT scanners. We have developed an alternative respiratory correlated procedure for CBCT and evaluated its performance. This respiratory correlated CBCT procedure consists of retrospective sorting in projection space, yielding subsets of projections that each corresponds to a certain breathing phase. Subsequently, these subsets are reconstructed into a four-dimensional (4D) CBCT dataset. The breathing signal, required for respiratory correlation, was directly extracted from the 2D projection data, removing the need for an additional respiratory monitor system. Due to the reduced number of projections per phase, the contrast-to-noise ratio in a 4D scan reduced by a factor 2.6-3.7 compared to a 3D scan based on all projections. Projection data of a spherical phantom moving with a 3 and 5 s period with and without simulated breathing irregularities were acquired and reconstructed into 3D and 4D CBCT datasets. The positional deviations of the phantoms center of gravity between 4D CBCT and fluoroscopy were small: 0.13{+-}0.09 mm for the regular motion and 0.39{+-}0.24 mm for the irregular motion. Motion artifacts, clearly present in the 3D CBCT datasets, were substantially reduced in the 4D datasets, even in the presence of breathing irregularities, such that the shape of the moving structures could be identified more accurately. Moreover, the 4D CBCT dataset provided information on the 3D trajectory of the moving structures, absent in the 3D data. Considerable breathing irregularities, however, substantially reduces the image quality. Data presented for three different lung cancer patients were in line with the results obtained from the phantom study. In conclusion, we have successfully implemented a respiratory correlated CBCT procedure yielding a 4D dataset. With respiratory correlated CBCT on a linear accelerator, the mean position, trajectory, and shape of a moving tumor can be verified just prior to treatment. Such verification reduces respiration induced geometrical uncertainties, enabling safe delivery of 4D radiotherapy such as gated radiotherapy with small margins.

  18. 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...

  19. 263 Farmington Avenue, Farmington, CT 06030 Confidential Health Information Enclosed

    E-Print Network [OSTI]

    Oliver, Douglas L.

    263 Farmington Avenue, Farmington, CT 06030 Confidential Health Information Enclosed Sender Information: Date: ________________________________ Time: ________________________ From: ________________________ Recipient Information: To: ________________________________ Phone: ________________________ Organization

  20. PET/CT shielding design comparisons 

    E-Print Network [OSTI]

    Coker, Audra Lee

    2007-09-17

    used to calculate unattenuated radiation through existing lead walls. The computer code MCNPX was used to simulate the leaded walls of the PET/CT suite and provide another set of results. These two sets of results were compared to doses gathered from...

  1. 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.

  2. 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 (? ? 200–400 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.

  3. Lake Bridgeport, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: EnergyKulpsville,LEDSGP/activitiesPlataLahendong GEPP JumpBenton, Minnesota:

  4. City of Bridgeport, Texas (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLCLtd JumpGeorgia (UtilityBenham,Bowie, Texas

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: Energy ResourcesCounty, Texas:Brewer, Maine:Brice,New York: Energy

  6. THE ANATOMICAL RECORD 293:141149 (2010) The Structure of Tight Junctions in

    E-Print Network [OSTI]

    Terasaki, Mark

    2010-01-01

    Sciences, University of Connecticut Health Center, Farmington, Connecticut 4 Department of Cell Biology, University of Connecticut Health Center, Farmington, Connecticut ABSTRACT Salivary gland cells are joined, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030-1610. Fax: 860-679-4078. E

  7. Empowering consumers to reduce residential energy waste : designing, implementing, and evaluating the Connecticut neighbor to Neighbor Energy Challenge

    E-Print Network [OSTI]

    Donnelly, Kathy A. (Kathy Ann)

    2013-01-01

    This thesis considers behavior change strategies to increase CT residential energy efficiency uptake in the context of an action research pilot. Action research includes experimental pilot deployment within a realworld ...

  8. 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.

  9. Siemens Corporate Technology CT | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity for LowInformationShoshone County,SiCorporate Technology CT

  10. Segmentation of artifacts and anatomy in CT metal artifact reduction

    E-Print Network [OSTI]

    Karimi, Seemeen; Cosman, Pamela; Wald, Christoph; Martz, Harry

    2012-01-01

    Maximum- likelihood dual-energy tomographic imageartifact reduction by dual energy CT using monoenergetictive reconstruction of dual energy data 21 has the potential

  11. CT. L-2 United States Government

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and Myers Co -VANaval ,, *' ;x-L* d! CT NC0 - i ,

  12. CT Investment Partners LLP | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County, California: Energy ResourcesCRED: A New Model of ClimateOpenCT

  13. Coronary CT angiography offers further risk stratification in the management of patients with normal SPECT results

    E-Print Network [OSTI]

    Budoff, Matthew J.; Hacioglu, Yalcin

    2010-01-01

    Coronary CT angiography offers further risk strati?cation inCoronary CT angiography offers further risk strati?cationCoronary CT angiography offers further risk strati?cation

  14. Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints

    E-Print Network [OSTI]

    Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints Neil Birkbeck Healthcare, Oxford, UK Abstract. The diversity in appearance of diseased lung tissue makes automatic segmentation of lungs from CT with severe pathologies chal- lenging. To overcome this challenge, we rely

  15. Automatic Labeling and Segmentation of Vertebrae in CT Images

    E-Print Network [OSTI]

    Freitas, Nando de

    vertebral column. I validate my technique in terms of accuracy of the labeling and segmentation of CT images handled labeling of the vertebral column in arbitrary scans [3, 4]. Klinder et al. build a template (mean(s) Affiliation Address email Abstract Detection, Labeling, and segmentation of the spinal column from CT images

  16. 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].

  17. 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].

  18. Math Geosci (2015) 47:123148 DOI 10.1007/s11004-014-9553-y

    E-Print Network [OSTI]

    Willig, Michael

    2015-01-01

    Department of Geography, University of Connecticut, Storrs, CT 06269, USA e-mail: weidong, University of Connecticut, Storrs, CT 06269, USA M. R. Willig Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA D. K. Dey Department of Statistics, University

  19. Multi-energy CT Based on a Prior Rank, Intensity and Sparsity Model (PRISM)

    E-Print Network [OSTI]

    Soatto, Stefano

    -color, as a natural extension of dual energy CT [1], the future of CT will be multi-energy, generating much richer

  20. 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...

  1. 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 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]).

  2. UNIVERSITY OF CONNECTICUT CONNECTICUT COMMUNITY COLLEGE SYSTEM

    E-Print Network [OSTI]

    Alpay, S. Pamir

    OF THE AGREEMENT 1. Minimum 3.0 cumulative grade point average is required for entry into the College of Liberal point average is required for entry into the School of Business. The grade point average

  3. U.S. Congressman John B. Larson (D -CT) confers with Dr. Ben Wilhite

    E-Print Network [OSTI]

    Chandy, John A.

    to scientists at NOAA's National Climatic Data Center in Asheville, N.C. Preliminary data show that temperatures temperatures, the temperature rise is consistent with climate change. Globally, this trend bodes ill visit to the Connecticut Global Fuel Cell Center #12;Dear Alumni and Friends of the School

  4. 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 (12–100 mA s current–time 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 Women’s 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.

  5. Bagtzoglou-9/12/2011 1/26 CURRICULUM VITAE

    E-Print Network [OSTI]

    Chandy, John A.

    and Environmental Engineering 261 Glenbrook Road, Unit 2037 University of Connecticut Storrs, Connecticut 06269 Engineering, University of Connecticut, Storrs, CT Jun 2006 ­ Jul 2006 Invited Visiting Professor (1st class, Tenure & Reappointment (elected post) School of Engineering, University of Connecticut May 2007 ­ May

  6. New England Statistics Symposium Friday and Saturday, April 24-25, 2015

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    of Connecticut, Storrs, CT The Department of Statistics of the University of Connecticut is proud to host the 29 the University of Connecticut are Ming-Hui Chen (Chair), Ofer Harel, and Jun Yan. Yaakov Bar-Shalom of University of Connecticut and Adrian E. Raftery of University of Washington will deliver keynote presentations

  7. Recent forecasts from the National Weather Service and other Hurricane watchers predict an active Hurricane Season for the U.S. Connecticut has been severely affected many times by Hurricanes. Individuals, businesses and communities can take some basic st

    E-Print Network [OSTI]

    Post, David M.

    Recent forecasts from the National Weather Service and other Hurricane watchers predict an active Hurricane Season for the U.S. Connecticut has been severely affected many times by Hurricanes. Individuals, businesses and communities can take some basic steps to be better informed about and prepared for Hurricanes

  8. 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.

  9. A Compact Torus Fusion Reactor Utilizing a Continuously Generated Strings of CT's. The CT String Reactor, CTSR.

    SciTech Connect (OSTI)

    Hartman, C W; Reisman, D B; McLean, H S; Thomas, J

    2007-05-30

    A fusion reactor is described in which a moving string of mutually repelling compact toruses (alternating helicity, unidirectional Btheta) is generated by repetitive injection using a magnetized coaxial gun driven by continuous gun current with alternating poloidal field. An injected CT relaxes to a minimum magnetic energy equilibrium, moves into a compression cone, and enters a conducting cylinder where the plasma is heated to fusion-producing temperature. The CT then passes into a blanketed region where fusion energy is produced and, on emergence from the fusion region, the CT undergoes controlled expansion in an exit cone where an alternating poloidal field opens the flux surfaces to directly recover the CT magnetic energy as current which is returned to the formation gun. The CT String Reactor (CTSTR) reactor satisfies all the necessary MHD stability requirements and is based on extrapolation of experimentally achieved formation, stability, and plasma confinement. It is supported by extensive 2D, MHD calculations. CTSTR employs minimal external fields supplied by normal conductors, and can produce high fusion power density with uniform wall loading. The geometric simplicity of CTSTR acts to minimize initial and maintenance costs, including periodic replacement of the reactor first wall.

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

    SciTech Connect (OSTI)

    Li, Hua, E-mail: huli@radonc.wustl.edu; Chen, Hsin-Chen; Tan, Jun; Gay, Hiram; Michalski, Jeff M.; Mutic, Sasa [Department of Radiation Oncology, Washington University, St. Louis, Missouri 63110 (United States)] [Department of Radiation Oncology, Washington University, St. Louis, Missouri 63110 (United States); Yu, Lifeng [Department of Radiology, Mayo Clinic, Rochester, Minnesota 55905 (United States)] [Department of Radiology, Mayo Clinic, Rochester, Minnesota 55905 (United States); Anastasio, Mark A. [Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63110 (United States)] [Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63110 (United States); Low, Daniel A. [Department of Radiation Oncology, University of California Los Angeles, Los Angeles, California 90095 (United States)] [Department of Radiation Oncology, University of California Los Angeles, Los Angeles, California 90095 (United States)

    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 ? 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.

  11. Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography

    E-Print Network [OSTI]

    Barbu, Adrian

    Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography Le Lu1-Cecal Valve (ICV) detection in both clean and tagged 3D CT colonography scans. Our final ICV detection system

  12. 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.

  13. 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 1–3 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 TRUS–CT image fusion. After TRUS–CT 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.

  14. Slowing the Increase in the Population Dose Resulting from CT Scans D. J. Brenner

    E-Print Network [OSTI]

    Brenner, David Jonathan

    is by far in the patient's favor. Nevertheless, CT should operate under the ALARA (As Low As Reasonably

  15. The San Francisco Consortium CT Host, CE Home

    E-Print Network [OSTI]

    Ovchinnikov, Sergei

    The San Francisco Consortium CT Host, CE Home me l r Student: Complete Sections 1 through 5. Print Campus Campus California College of Podiatric Medicine City College of San Francisco Cogswell College Golden Gate University Tuition Required Hastings College of the Law San Francisco State University

  16. Collapsibility of Lung Volume by Paired Inspiratory and Expiratory CT

    E-Print Network [OSTI]

    Collapsibility of Lung Volume by Paired Inspiratory and Expiratory CT Scans: Correlations with Lung Function and Mean Lung Density Tsuneo Yamashiro, MD, Shin Matsuoka, MD, PhD, Brian J. Bartholmai, MD, Rau: To evaluate the relationship between measurements of lung volume (LV) on inspiratory/expiratory computed

  17. Targeted CT Screening for Lung Cancer using Absolute Risk Prediction

    E-Print Network [OSTI]

    Brent, Roger

    Targeted CT Screening for Lung Cancer using Absolute Risk Prediction Stephanie A. Kovalchik skovalch@rand.org FHCRC 2014 Risk Prediction Symposium June 11, 2014 1 #12;Outline · Lung Cancer Epidemiology and Screening · Screening Benefit and Absolute Risk · Absolute Risk Model for Lung Cancer

  18. Soft Classification with Gaussian Mixture Model for Clinical Dual-Energy CT Reconstructions

    E-Print Network [OSTI]

    1 Soft Classification with Gaussian Mixture Model for Clinical Dual-Energy CT Reconstructions, and Ken D. Sauer, Member, IEEE Abstract--We study the distribution of the clinical dual-energy CT (DECT material separation. Index Terms--Computed tomography (CT), dual energy, sta- tistical method, Gaussian

  19. Fractional scan algorithms for low-dose perfusion CT Jiang Hsieha)

    E-Print Network [OSTI]

    Wang, Ge

    Fractional scan algorithms for low-dose perfusion CT Jiang Hsieha) GE Medical Systems, Milwaukee be reconstructed at a fraction of the nominal radiation dose. © 2004 American Asso- ciation of Physicists to perform perfusion CT at a significantly reduced x-ray dose. One method to achieve low-dose CT is to reduce

  20. Automatic Lung Nodule Detection from Chest CT Data Using Geometrical Features: Initial Results

    E-Print Network [OSTI]

    Whelan, Paul F.

    Automatic Lung Nodule Detection from Chest CT Data Using Geometrical Features: Initial Results for automatic lung nodule detection from Chest CT data is proposed. The proposed system includes the methods of lung segmentation and nodule detection from CT data. The algorithm for lung segmentation consists

  1. Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning

    E-Print Network [OSTI]

    Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning and Level Set.Kevin Zhou1 Abstract Automatic segmentation of lung tissue in thoracic CT scans is useful for diagnosis and treatment planning of pulmonary diseases. Unlike healthy lung tissue that is easily identifiable in CT scans

  2. Augmenting CT Cardiac Roadmaps with Segmented Streaming Qi Duan a,b

    E-Print Network [OSTI]

    Augmenting CT Cardiac Roadmaps with Segmented Streaming Ultrasound Qi Duan a,b , Guy Shechter Static X-ray computed tomography (CT) volumes are often used as anatomic roadmaps during catheter. Augmenting these static CT roadmaps with segmented myocardial borders extracted from live ultrasound (US

  3. Quantitative cone-beam CT imaging in radiation therapy using planning CT as a prior: First patient studies

    SciTech Connect (OSTI)

    Niu Tianye; Al-Basheer, Ahmad; Zhu Lei [Nuclear and Radiological Engineering and Medical Physics Programs, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States); Georgia Radiation Therapy Center, Department of Radiology, Georgia Health Sciences University, Augusta, Georgia 30912 (United States); Nuclear and Radiological Engineering and Medical Physics Programs, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States)

    2012-04-15

    Purpose: Quantitative cone-beam CT (CBCT) imaging is on increasing demand for high-performance image guided radiation therapy (IGRT). However, the current CBCT has poor image qualities mainly due to scatter contamination. Its current clinical application is therefore limited to patient setup based on only bony structures. To improve CBCT imaging for quantitative use, we recently proposed a correction method using planning CT (pCT) as the prior knowledge. Promising phantom results have been obtained on a tabletop CBCT system, using a correction scheme with rigid registration and without iterations. More challenges arise in clinical implementations of our method, especially because patients have large organ deformation in different scans. In this paper, we propose an improved framework to extend our method from bench to bedside by including several new components. Methods: The basic principle of our correction algorithm is to estimate the primary signals of CBCT projections via forward projection on the pCT image, and then to obtain the low-frequency errors in CBCT raw projections by subtracting the estimated primary signals and low-pass filtering. We improve the algorithm by using deformable registration to minimize the geometry difference between the pCT and the CBCT images. Since the registration performance relies on the accuracy of the CBCT image, we design an optional iterative scheme to update the CBCT image used in the registration. Large correction errors result from the mismatched objects in the pCT and the CBCT scans. Another optional step of gas pocket and couch matching is added into the framework to reduce these effects. Results: The proposed method is evaluated on four prostate patients, of which two cases are presented in detail to investigate the method performance for a large variety of patient geometry in clinical practice. The first patient has small anatomical changes from the planning to the treatment room. Our algorithm works well even without the optional iterations and the gas pocket and couch matching. The image correction on the second patient is more challenging due to the effects of gas pockets and attenuating couch. The improved framework with all new components is used to fully evaluate the correction performance. The enhanced image quality has been evaluated using mean CT number and spatial nonuniformity (SNU) error as well as contrast improvement factor. If the pCT image is considered as the ground truth, on the four patients, the overall mean CT number error is reduced from over 300 HU to below 16 HU in the selected regions of interest (ROIs), and the SNU error is suppressed from over 18% to below 2%. The average soft-tissue contrast is improved by an average factor of 2.6. Conclusions: We further improve our pCT-based CBCT correction algorithm for clinical use. Superior correction performance has been demonstrated on four patient studies. By providing quantitative CBCT images, our approach significantly increases the accuracy of advanced CBCT-based clinical applications for IGRT.

  4. 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"...

  5. Connecticut Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, Electric and AlternateYear(Million42Year Jan67-2005 Citygate

  6. Connecticut Natural Gas Summary

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic Feet)Cubic1992Thousand Cubic

  7. Connecticut Natural Gas Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions (Million (Million49 4.58 4.58

  8. Sci—Thur 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.

  9. AMP-activated protein kinase phosphorylates CtBP1 and down-regulates its activity

    SciTech Connect (OSTI)

    Kim, Jae-Hwan; Choi, Soo-Youn; Kang, Byung-Hee; Lee, Soon-Min [National Creative Research Center for Epigenome Reprogramming Network, Departments of Biomedical Sciences and Biochemistry and Molecular Biology, Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul 110-799 (Korea, Republic of)] [National Creative Research Center for Epigenome Reprogramming Network, Departments of Biomedical Sciences and Biochemistry and Molecular Biology, Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul 110-799 (Korea, Republic of); Park, Hyung Soon; Kang, Gum-Yong; Bang, Joo Young [Center for Biomedical Mass Spectrometry, Diatech Korea Co., Ltd., Seoul (Korea, Republic of)] [Center for Biomedical Mass Spectrometry, Diatech Korea Co., Ltd., Seoul (Korea, Republic of); Cho, Eun-Jung [National Research Laboratory for Chromatin Dynamics, College of Pharmacy, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of)] [National Research Laboratory for Chromatin Dynamics, College of Pharmacy, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Youn, Hong-Duk, E-mail: hdyoun@snu.ac.kr [National Creative Research Center for Epigenome Reprogramming Network, Departments of Biomedical Sciences and Biochemistry and Molecular Biology, Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul 110-799 (Korea, Republic of) [National Creative Research Center for Epigenome Reprogramming Network, Departments of Biomedical Sciences and Biochemistry and Molecular Biology, Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul 110-799 (Korea, Republic of); WCU Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence and Technology, Seoul National University, Seoul (Korea, Republic of)

    2013-02-01

    Highlights: ? AMPK phosphorylates CtBP1 on serine 158. ? AMPK-mediated phosphorylation of CtBP1 causes the ubiquitination and nuclear export of CtBP1. ? AMPK downregulates the CtBP1-mediated repression of Bax transcription. -- Abstract: CtBP is a transcriptional repressor which plays a significant role in the regulation of cell proliferation and tumor progression. It was reported that glucose withdrawal causes induction of Bax due to the dissociation of CtBP from the Bax promoter. However, the precise mechanism involved in the regulation of CtBP still remains unclear. In this study, we found that an activated AMP-activated protein kinase (AMPK) phosphorylates CtBP1 on Ser-158 upon metabolic stresses. Moreover, AMPK-mediated phosphorylation of CtBP1 (S158) attenuates the repressive function of CtBP1. We also confirmed that triggering activation of AMPK by various factors resulted in an increase of Bax gene expression. These findings provide connections of AMPK with CtBP1-mediated regulation of Bax expression for cell death under metabolic stresses.

  10. 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.

  11. 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.

  12. The CT14 Global Analysis of Quantum Chromodynamics

    E-Print Network [OSTI]

    Dulat, Sayipjamal; Gao, Jun; Guzzi, Marco; Huston, Joey; Nadolsky, Pavel; Pumplin, Jon; Schmidt, Carl; Stump, Daniel; Yuan, C P

    2015-01-01

    We present new parton distribution functions (PDFs) up to next-to-next-to-leading order (NNLO) from the CTEQ-TEA global analysis of quantum chromodynamics. These differ from previous CT PDFs in several respects, including the use of data from LHC experiments and the new D0 charged lepton rapidity asymmetry data, as well as the use of more flexible parametrization of PDFs that, in particular, allows a better fit to different combinations of quark flavors. Predictions for important LHC processes, especially Higgs boson production at 13 TeV, are presented. These CT14 PDFs include a central set and error sets in the Hessian representation. For completeness, we also present the CT14 PDFs determined at the leading order (LO) and the next-to-leading order (NLO) in QCD. Besides these general-purpose PDF sets, we provide a series of (N)NLO sets with various $\\alpha_s$ values and additional sets in heavy-quark scheme with up to 3, 4, and 6 active flavors.

  13. The CT14 Global Analysis of Quantum Chromodynamics

    E-Print Network [OSTI]

    Sayipjamal Dulat; Tie Jiun Hou; Jun Gao; Marco Guzzi; Joey Huston; Pavel Nadolsky; Jon Pumplin; Carl Schmidt; Daniel Stump; C. P. Yuan

    2015-08-02

    We present new parton distribution functions (PDFs) up to next-to-next-to-leading order (NNLO) from the CTEQ-TEA global analysis of quantum chromodynamics. These differ from previous CT PDFs in several respects, including the use of data from LHC experiments and the new D0 charged lepton rapidity asymmetry data, as well as the use of more flexible parametrization of PDFs that, in particular, allows a better fit to different combinations of quark flavors. Predictions for important LHC processes, especially Higgs boson production at 13 TeV, are presented. These CT14 PDFs include a central set and error sets in the Hessian representation. For completeness, we also present the CT14 PDFs determined at the leading order (LO) and the next-to-leading order (NLO) in QCD. Besides these general-purpose PDF sets, we provide a series of (N)NLO sets with various $\\alpha_s$ values and additional sets in general-mass variable flavor number (GM-VFN) schemes, to deal with heavy partons, with up to 3, 4, and 6 active flavors.

  14. Functional Brain Activation Differences in School-Age Children With Speech Sound

    E-Print Network [OSTI]

    and recognition a Haskins Laboratories, New Haven, CT b Southern Connecticut State University, New Haven, CT c Tottori University, Tottori, Japan f University of Connecticut, Storrs Correspondence to Jonathan L Yale Child Study Center, Yale University, New Haven, CT d Yale School of Medicine, Yale University e

  15. 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 (10–35 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 8–37 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% (3.2/8.3–0.9/6.2). 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.

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

    Office of Scientific and Technical Information (OSTI)

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

  17. An algorithm for constrained one-step inversion of spectral CT data

    E-Print Network [OSTI]

    Barber, Rina Foygel; Schmidt, Taly Gilat; Pan, Xiaochuan

    2015-01-01

    We develop a primal-dual algorithm that allows for one-step inversion of spectral CT transmission photon counts data to a basis map decomposition. The algorithm allows for image constraints to be enforced on the basis maps during the inversion. The derivation of the algorithm makes use of a local upper bounding quadratic approximation to generate descent steps for non-convex spectral CT data discrepancy terms, combined with a new convex-concave optimization algorithm. Convergence of the algorithm is demonstrated on simulated spectral CT data. Simulations with noise and anthropomorphic phantoms show examples of how to employ the constrained one-step algorithm for spectral CT data.

  18. Embedded Library in WebCT: Pushing UCSD Library Resources to Faculty Courses

    E-Print Network [OSTI]

    Ho, SuHui

    2007-01-01

    keeper about pushing the library to department pages & webEmbedded Library in WebCT:Pushing UCSD Library Resources to Faculty Courses Presenter:

  19. A Fossilized Opal A To Opal C-T Transformation On The Northeast...

    Open Energy Info (EERE)

    A Fossilized Opal A To Opal C-T Transformation On The Northeast Atlantic Margin- Support For A Significantly Elevated Palaeogeothermal Gradient During The Neogene? Jump to:...

  20. 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.

  1. 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.

  2. Pre-processing methods for nodule detection in lung CT

    E-Print Network [OSTI]

    Cheran, S C; De Mitri, I; De Nunzio, G; Fantacci, M E; Fauci, F; Gargano, G; Torres, E L; Massafra, R; Oliva, P; Pérez-Martínez, A; Raso, G; Retico, A; Stumbo, S; Tata, A

    2005-01-01

    The use of automatic systems in the analysis of medical images has proven to be very useful to radiologists, especially in the framework of screening programs, in which radiologists make their first diagnosis on the basis of images only, most of those corresponding to healthy patients, and have to distinguish pathological findings from non-pathological ones at an early stage. In particular, we are developing preprocessing methods to be applied for pulmonary nodule Computer Aided Detection in low-dose lung Multi Slice CT (Computed Tomography) images.

  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

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

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth Dakota Edgemont, South Dakota,You are hereNY 01NJBrass Co - CT 01

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits &BradburyMay 1, 2013, 4:15pmEnergyNovemberComputeCSTEC EnergyCT

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex AAustria Geothermal RegionAvraPáginasSolar JumpPowerBAIC CT T

  7. 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...

  8. 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:...

  9. Complete CV

    E-Print Network [OSTI]

    2014-03-10

    Tenure Track Assistant Professor at the University of Connecticut, Storrs, CT ... Studies of physics and mathematics at the University of Bonn, Bonn, Germany.

  10. On spineless cacti, Deligne's conjecture and Connes–Kreimer's ...

    E-Print Network [OSTI]

    2006-12-13

    University of Connecticut, Department of Mathematics, 196 Auditorium Road, Storrs, CT 06269, United States. Received 18 November 2004; received in revised ...

  11. STRINGY K-THEORY AND THE CHERN CHARACTER - H. - H ...

    E-Print Network [OSTI]

    2006-10-16

    Oct 16, 2006 ... When E is a vector bundle over X, we will often write ct(E) instead ...... Department of Mathematics; University of Connecticut; 196 Auditorium ...

  12. Clifford algebras, Fermions and Spin chains

    E-Print Network [OSTI]

    2006-07-13

    Physics Department, University of Connecticut, U-3046, 2152 Hill- side Road, Storrs, CT 06269-3046. Abstract. We show how using Clifford algebras and their

  13. J. Phys. A 40

    E-Print Network [OSTI]

    2006-12-11

    Dec 12, 2006 ... Physics Department, University of Connecticut, U-3046, 2152 Hillside Road,. Storrs, CT 06269-3046, USA. E-mail: kaufmann@phys.uconn.edu.

  14. The algebra of discrete torsion

    E-Print Network [OSTI]

    2004-10-13

    Oct 1, 2004 ... Department of Mathematics, University of Connecticut, 196 Auditorium Road, Storrs, CT 06269-3009, USA. Received 2 January 2004.

  15. equivariant cohomological field theories

    E-Print Network [OSTI]

    Tyler J. Jarvis, Ralph Kaufmann and Takashi Kimura

    2005-06-03

    Jun 21, 2005 ... The first author would like to thank Boston University for its hospitality. .... University of Connecticut, 196 Auditorium Road, Storrs, CT 06269-.

  16. ON AUTOMORPHY OF CERTAIN GALOIS REPRESENTATIONS OF ...

    E-Print Network [OSTI]

    2015-02-09

    Department of Mathematics, University of Connecticut, Storrs, CT 06269, ... Wu Yee Sun College, The Chinese University of Hong Kong, Shatin, Hong Kong.

  17. A Model-Based Iterative Algorithm for Dual-Energy X-Ray CT Reconstruction

    E-Print Network [OSTI]

    A Model-Based Iterative Algorithm for Dual-Energy X-Ray CT Reconstruction Ruoqiao Zhang, Jean, Senior Member, IEEE Abstract--Recent developments in dual-energy X-ray CT have shown a number of benefits the opportunity to reduce noise and artifacts in dual energy reconstructions. However, previous approaches

  18. Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT

    E-Print Network [OSTI]

    Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT Christoph surface models of multi-material components using dual energy com- puted tomography (DECT exposure scans was facilitated. Index Terms--DECT image fusion, local surface extraction, Dual Energy CT

  19. Automated segmentation of lungs with severe interstitial lung disease in CT

    E-Print Network [OSTI]

    Automated segmentation of lungs with severe interstitial lung disease in CT Jiahui Wang Department: Accurate segmentation of lungs with severe interstitial lung disease ILD in thoracic computed tomography CT developed in this study a texture analysis-based method for accurate segmentation of lungs with severe ILD

  20. Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans

    E-Print Network [OSTI]

    Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans Michal t In the clinical workflow for lung cancer management, the comparison of nodules between CT scans from subsequent in investigating the condition of the lung. The algorithm uses a combination of feature extraction, indexing

  1. AUTOMATIC HEART ISOLATION FOR CT CORONARY VISUALIZATION USING G. Funka-Lea1

    E-Print Network [OSTI]

    Boykov, Yuri

    AUTOMATIC HEART ISOLATION FOR CT CORONARY VISUALIZATION USING GRAPH-CUTS G. Funka-Lea1 , Y. Boykov3 isolate the outer surface of the entire heart in Computer Tomogra- phy (CT) cardiac scans. Isolating the entire heart allows the coronary vessels on the surface of the heart to be easily visu- alized despite

  2. Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images

    E-Print Network [OSTI]

    Corso, Jason J.

    Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images Yimo Tao1,2 , Le Lu1. Early detection of Ground Glass Nodule (GGN) in lung Computed Tomography (CT) images is important for lung cancer prog- nosis. Due to its indistinct boundaries, manual detection and segmenta- tion of GGN

  3. Lobe-based Estimating Ventilation and Perfusion from 3D CT scans of the Lungs

    E-Print Network [OSTI]

    Warren, Joe

    Lobe-based Estimating Ventilation and Perfusion from 3D CT scans of the Lungs Travis McPhail Joe Warren Rice University Thomas Guerrero, M.D. M.D. Anderson Cancer Center Introduction Lung cancer for lung cancer includes surgical removal or radiation therapy. 3D imaging technologies such CT, MRI

  4. ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag

    E-Print Network [OSTI]

    Louisville, University of

    ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag.edu ABSTRACT This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung region in the chest cavity

  5. Proceedings of MICCAI 2010 Workshop: Virtual Colonoscopy & Abdominal Imaging Recent advances in automated lesion detection for CT

    E-Print Network [OSTI]

    van Vliet, Lucas J.

    , techniques for CT colonography evolved rapidly, stimulated by encouraging performance data. Computer aided: computer aided detection, CT colonography, virtual colonoscopy. 1 Introduction Computed tomographic compliance. For digitally removing` the tagged materials, electronic cleansing (EC) methods were developed [1

  6. Abstract --Four-dimensional dynamic computed tomography (4D-dCT) plays an important role in radiation treatment

    E-Print Network [OSTI]

    dose during a 4D-dCT procedure is much higher than a routine 3D CT study. Low-dose scans for 4D with low-dose dynamic CT scans. It first applies the Karhunen-Loève (KL) transform to the neighboring-CT datasets are usually acquired in treatment planning for lung cancer [1]-[3]. Thus, the radiation dose of 4D

  7. Dual energy CT-based characterization of x-ray attenuation properties of breast equivalent material plates

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Dual energy CT-based characterization of x-ray attenuation properties of breast equivalent material of the same nominal breast density equivalence (+ 1.5 HU). In addition, dual energy CT provided mono equivalent material, breast density, attenuation properties, linear attenuation coefficients, dual energy CT

  8. Statistical analysis of Multi-Material Components using Dual Energy CT Christoph Heinzl, Johann Kastner, Torsten Moller, and Eduard Groller

    E-Print Network [OSTI]

    Statistical analysis of Multi-Material Components using Dual Energy CT Christoph Heinzl, Johann plastics-metal components. The presented work makes use of dual energy CT data acquisi- tion for artefact pipeline based on the dual ex- posure technique of dual energy CT. After prefilter- ing and multi

  9. Abstract-Proton Computed Tomography (CT) has important implications for both image-guided diagnosis and radiation

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Abstract- Proton Computed Tomography (CT) has important implications for both image-guided diagnosis and radiation therapy. For diagnosis, the fact that the patient dose committed by proton CT and contrast, may be exploited in dose-critical clinical settings. Proton CT is also the most appropriate

  10. for Proton CT R. P. Johnson, Member, IEEE, V. Bashkirov, V. Giacometti, R. F. Hurley, P. Piersimoni,

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    for Proton CT R. P. Johnson, Member, IEEE, V. Bashkirov, V. Giacometti, R. F. Hurley, P. Piersimoni beam test results with our pre-clinical (Phase-II) head scanner developed for proton computed tomography (pCT). After extensive preclinical testing, pCT will be employed in support of proton therapy

  11. Abstract ---Computed tomography colonography (CTC) or CT-based virtual colonoscopy (VC) is an emerging tool for detection

    E-Print Network [OSTI]

    . The radiation dose is a major concern for screening application of CTC. In this work, we performed a simulation study to demonstrate a possible ultra low-dose CT technique for VC. The ultra low-dose abdominal CT by a filtered backprojection algorithm for the ultra low-dose CT images. The patient-specific virtual colon

  12. Noise properties of low-dose X-ray CT sinogram data in Radon space , Hongbing Lu2

    E-Print Network [OSTI]

    Noise properties of low-dose X-ray CT sinogram data in Radon space Jing Wang1 , Hongbing Lu2 statistical moments will improve low-dose CT image reconstruction for screening applications. Keywords: Low-dose]. However, clinical use of CT frequently exposes the patients to excessive X-ray radiation [4

  13. T4DT: Processing 4D CT scans of the Lungs Robert Fowler Joe Warren Yin Zhang

    E-Print Network [OSTI]

    Warren, Joe

    T4DT: Processing 4D CT scans of the Lungs Robert Fowler Joe Warren Yin Zhang Rice University technology for processing time-varying CT scans (4D CT) of the lungs. In particular, we propose to develop these tools to quantitatively assess the effectiveness of current treatments for lung cancer. #12;T4DT

  14. A knowledge-based cone-beam x-ray CT algorithm for dynamic volumetric cardiac imaging

    E-Print Network [OSTI]

    Wang, Ge

    A knowledge-based cone-beam x-ray CT algorithm for dynamic volumetric cardiac imaging Ge Wanga, and wider coverage with multislice/cone- beam CT indicate a great potential for dynamic volumetric imaging/ helical multislice/cone-beam CT approach for dynamic volumetric cardiac imaging. This approach assumes

  15. 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.

  16. 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.

  17. Comparison of Image Registration Based Measures of Regional Lung Ventilation from Dynamic Spiral CT with Xe-CT

    E-Print Network [OSTI]

    Ding, Kai; Fuld, Matthew K; Du, Kaifang; Christensen, Gary E; Hoffman, Eric A; Reinhardt, Joseph M

    2012-01-01

    Purpose: Regional lung volume change as a function of lung inflation serves as an index of parenchymal and airway status as well as an index of regional ventilation and can be used to detect pathologic changes over time. In this article, we propose a new regional measure of lung mechanics --- the specific air volume change by corrected Jacobian. Methods: 4DCT and Xe-CT data sets from four adult sheep are used in this study. Nonlinear, 3D image registration is applied to register an image acquired near end inspiration to an image acquired near end expiration. Approximately 200 annotated anatomical points are used as landmarks to evaluate registration accuracy. Three different registration-based measures of regional lung mechanics are derived and compared: the specific air volume change calculated from the Jacobian (SAJ); the specific air volume change calculated by the corrected Jacobian (SACJ); and the specific air volume change by intensity change (SAI). Results: After registration, the mean registration err...

  18. 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.

  19. 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 (Catphan©600) 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.

  20. Silben Workshop Mnster, 2011 Christine Mooshammer, Haskins Labs, New Haven, CT

    E-Print Network [OSTI]

    , MA) Elliot Saltzman (Haskins & BU, Boston, MA) Hosung Nam (Haskins) Argyo Katsika (Haskins & Yale, CT und Elliot Saltzman) Grundlegende Einheit in der gesprochenen Sprache sind die Gesten Gesten werden

  1. 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).

  2. 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.

  3. 10 A.M. CT TODAY: On-the Record Conference Call for Obama Administrati...

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

    White House Rural Economic Council Promotes Production of Next Generation Biofuels, Job Creation and Economic Opportunity WASHINGTON, Aug. 16, 2011 - Today at 10 a.m. CT (11 a.m....

  4. Finite Element Analysis of Ballistic Penetration of Plain Weave Twaron CT709® Fabrics: A Parametric Study 

    E-Print Network [OSTI]

    Gogineni, Sireesha

    2011-10-21

    The ballistic impact of Twaron CT709® plain weave fabrics is studied using an explicit finite element method. Many existing approximations pertaining to woven fabrics cannot adequately represent strain rate-dependent behavior exhibited by the Twaron...

  5. Lung nodule detection in low-dose and high-resolution CT scans

    E-Print Network [OSTI]

    Delogu, P; Gori, I; Preite Martínez, A; Retico, A; Tata, A

    2006-01-01

    We are developing a computer-aided detection (CAD) system for the identification of small pulmonary nodules in screening CT scans. The main modules of our system, i.e. a dot-enhancement filter for nodule candidate selection and a neural classifier for false positive finding reduction, are described. The preliminary results obtained on the so-far collected database of lung CT are discussed.

  6. 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.

  7. Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer

    SciTech Connect (OSTI)

    Fitton, I. [European Georges Pompidou Hospital, Department of Radiology, 20 rue Leblanc, 75015, Paris (France); Cornelissen, S. A. P. [Image Sciences Institute, UMC, Department of Radiology, P.O. Box 85500, 3508 GA Utrecht (Netherlands); Duppen, J. C.; Rasch, C. R. N.; Herk, M. van [The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Department of Radiotherapy, Plesmanlaan 121, 1066 CX Amsterdam (Netherlands); Steenbakkers, R. J. H. M. [University Medical Center Groningen, Department of Radiation Oncology, Hanzeplein 1, 9713 GZ Groningen (Netherlands); Peeters, S. T. H. [UZ Gasthuisberg, Herestraat 49, 3000 Leuven, Belgique (Belgium); Hoebers, F. J. P. [Maastricht University Medical Center, Department of Radiation Oncology (MAASTRO clinic), GROW School for Oncology and Development Biology Maastricht, 6229 ET Maastricht (Netherlands); Kaanders, J. H. A. M. [UMC St-Radboud, Department of Radiotherapy, Geert Grooteplein 32, 6525 GA Nijmegen (Netherlands); Nowak, P. J. C. M. [ERASMUS University Medical Center, Department of Radiation Oncology,Groene Hilledijk 301, 3075 EA Rotterdam (Netherlands)

    2011-08-15

    Purpose: To develop a delineation tool that refines physician-drawn contours of the gross tumor volume (GTV) in nasopharynx cancer, using combined pixel value information from x-ray computed tomography (CT) and magnetic resonance imaging (MRI) during delineation. Methods: Operator-guided delineation assisted by a so-called ''snake'' algorithm was applied on weighted CT-MRI registered images. The physician delineates a rough tumor contour that is continuously adjusted by the snake algorithm using the underlying image characteristics. The algorithm was evaluated on five nasopharyngeal cancer patients. Different linear weightings CT and MRI were tested as input for the snake algorithm and compared according to contrast and tumor to noise ratio (TNR). The semi-automatic delineation was compared with manual contouring by seven experienced radiation oncologists. Results: A good compromise for TNR and contrast was obtained by weighing CT twice as strong as MRI. The new algorithm did not notably reduce interobserver variability, it did however, reduce the average delineation time by 6 min per case. Conclusions: The authors developed a user-driven tool for delineation and correction based a snake algorithm and registered weighted CT image and MRI. The algorithm adds morphological information from CT during the delineation on MRI and accelerates the delineation task.

  8. ORIGINAL RESEARCH ARTICLE published: 02 September 2013

    E-Print Network [OSTI]

    Gage, Daniel J.

    of Connecticut, Storrs, CT, USA 2 Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT The rhizosphere is a hotbed of microbial activity in ecosystems, fueled by carbon compounds from plant roots are difficult to answer with standard, destructive soil assays mixing a multitude of microbe

  9. Dose uncertainty due to computed tomography ,,CT... slice thickness in CT-based high dose rate brachytherapy of the prostate cancer

    E-Print Network [OSTI]

    Pouliot, Jean

    brachytherapy of the prostate cancer Yongbok Kim,a) I-Chow Joe Hsu, Etienne Lessard, and Jean Pouliot Department tomography CT -based high dose rate HDR brachytherapy, the uncertainty in the localization in Medicine. DOI: 10.1118/1.1785454 Key words: high dose rate brachytherapy, computed tomography, prostate

  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 10×5?0.6CT and 10×6?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. Estimated cumulative radiation dose from PET/CT in children with malignancies: a 5-year retrospective review

    E-Print Network [OSTI]

    2010-01-01

    both PET and CT studies. The ALARA principle must be appliedprotocols that follow the ALARA principle (as low asis necessary to apply the ALARA principle in the radiation

  12. Registration of Electric Generators (Connecticut)

    Broader source: Energy.gov [DOE]

    All electric generating facilities operating in the state, with the exception of hydroelectric and nuclear facilities, must obtain a certificate of registration from the Department of Public...

  13. 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...

  14. University of Connecticut Health Center

    E-Print Network [OSTI]

    Oliver, Douglas L.

    & CBC daily once PTT is in target range (for duration of Heparin infusion) CBC every other day while) RN Signature: Date: Time: NO BOLUS: NO Heparin boluses initially or during titration. INFUSION: Per/kg/hour. Maximum initial and titration infusion rate is 1,000 units/hour. DISSEMINATED INTRAVASCULAR COAGULATION

  15. University of Connecticut Philosophy Department

    E-Print Network [OSTI]

    Alpay, S. Pamir

    or Religious Studies are employed. The median salary is $48,000. The 75th percentile salary is $75://cew.georgetown.edu/whatsitworth SALARY INFORMATION The mid-career median salary of philosophy majors ranks 16th out of 50 studied percentage salary increase from starting pay to mid-career pay: 103.5% (tied with Math). http://online.wsj

  16. University of Connecticut Health Center

    E-Print Network [OSTI]

    Oliver, Douglas L.

    No Cough Genitourinary Continent Voids without difficulty Urine clear Urine yellow to amber Bladder non

  17. Gas Code of Conduct (Connecticut)

    Broader source: Energy.gov [DOE]

    The Gas Code of Conduct sets forth the standard of conduct for transactions, direct or indirect, between gas companies and their affiliates. The purpose of these regulations is to promote...

  18. University of Connecticut Health Center

    E-Print Network [OSTI]

    Oliver, Douglas L.

    : ___________________________________ Is this a 2nd opinion? Yes No Is this an accident or work related injury? Please list: Family MD Representative: _________________________________________________ Insurance Company:____________________________________________________________ _____________________________________________________________ Phone: ____________________________________________________________ 1. Please describe the problem which

  19. Seymour, Connecticut, Site Fact Sheet

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700 GJO-2003-411-TACe:Salmon,.WGJPH-146 ' 3 .P'

  20. Connecticut Wells | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company)| Open(Evans, Et Al., 2002)ConchoConecuhCongers,Power Co

  1. SU-E-I-68: Practical Considerations On Implementation of the Image Gently Pediatric CT Protocols

    SciTech Connect (OSTI)

    Zhang, J; Adams, C; Lumby, C; Dillon, J [University of Kentucky, Lexington, KY (United States); Woods, E [University of kentucky, Lexington, KY (United States); Richer, E [University of Kentucky, Lexington, Lexington (United States)

    2014-06-01

    Purpose: One limitation associated with the Image Gently pediatric CT protocols is practical implementation of the recommended manual techniques. Inconsistency as a result of different practice is a possibility among technologist. An additional concern is the added risk of data error that would result in over or underexposure. The Automatic Exposure Control (AEC) features automatically reduce radiation for children. However, they do not work efficiently for the patients of very small size and relative large size. This study aims to implement the Image Gently pediatric CT protocols in the practical setting while maintaining the use of AEC features for pediatric patients of varying size. Methods: Anthropomorphological abdomen phantoms were scanned in a CT scanner using the Image Gently pediatric protocols, the AEC technique with a fixed adult baseline, and automatic protocols with various baselines. The baselines were adjusted corresponding to patient age, weight and posterioranterior thickness to match the Image Gently pediatric CT manual techniques. CTDIvol was recorded for each examination. Image noise was measured and recorded for image quality comparison. Clinical images were evaluated by pediatric radiologists. Results: By adjusting vendor default baselines used in the automatic techniques, radiation dose and image quality can match those of the Image Gently manual techniques. In practice, this can be achieved by dividing pediatric patients into three major groups for technologist reference: infant, small child, and large child. Further division can be done but will increase the number of CT protocols. For each group, AEC can efficiently adjust acquisition techniques for children. This implementation significantly overcomes the limitation of the Image Gently manual techniques. Conclusion: Considering the effectiveness in clinical practice, Image Gently Pediatric CT protocols can be implemented in accordance with AEC techniques, with adjusted baselines, to achieve the goal of providing the most appropriate radiation dose for pediatric patients of varying sizes.

  2. Resolution enhancement of lung 4D-CT data using multiscale interphase iterative nonlocal means

    SciTech Connect (OSTI)

    Zhang Yu [School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China and Department of Radiology and BRIC, University of North Carolina, Chapel Hill, North Carolina 27599 (United States); Yap, Pew-Thian; Wu Guorong [Department of Radiology and BRIC, University of North Carolina, Chapel Hill, North Carolina 27599 (United States); Feng Qianjin; Chen Wufan [School of Biomedical Engineering, Southern Medical University, Guangzhou 510515 (China); Lian Jun [Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina 27599 (United States); Shen Dinggang [Department of Radiology and BRIC, University of North Carolina, Chapel Hill, North Carolina 27599 (United States); Department of Brain and Cognitive Engineering, Korea University, Seoul 136-713 (Korea, Republic of)

    2013-05-15

    Purpose: Four-dimensional computer tomography (4D-CT) has been widely used in lung cancer radiotherapy due to its capability in providing important tumor motion information. However, the prolonged scanning duration required by 4D-CT causes considerable increase in radiation dose. To minimize the radiation-related health risk, radiation dose is often reduced at the expense of interslice spatial resolution. However, inadequate resolution in 4D-CT causes artifacts and increases uncertainty in tumor localization, which eventually results in extra damages of healthy tissues during radiotherapy. In this paper, the authors propose a novel postprocessing algorithm to enhance the resolution of lung 4D-CT data. Methods: The authors' premise is that anatomical information missing in one phase can be recovered from the complementary information embedded in other phases. The authors employ a patch-based mechanism to propagate information across phases for the reconstruction of intermediate slices in the longitudinal direction, where resolution is normally the lowest. Specifically, the structurally matching and spatially nearby patches are combined for reconstruction of each patch. For greater sensitivity to anatomical details, the authors employ a quad-tree technique to adaptively partition the image for more fine-grained refinement. The authors further devise an iterative strategy for significant enhancement of anatomical details. Results: The authors evaluated their algorithm using a publicly available lung data that consist of 10 4D-CT cases. The authors' algorithm gives very promising results with significantly enhanced image structures and much less artifacts. Quantitative analysis shows that the authors' algorithm increases peak signal-to-noise ratio by 3-4 dB and the structural similarity index by 3%-5% when compared with the standard interpolation-based algorithms. Conclusions: The authors have developed a new algorithm to improve the resolution of 4D-CT. It outperforms the conventional interpolation-based approaches by producing images with the markedly improved structural clarity and greatly reduced artifacts.

  3. Resolution enhancement of lung 4D-CT via group-sparsity

    SciTech Connect (OSTI)

    Bhavsar, Arnav; Wu, Guorong; Shen, Dinggang [Department of Radiology and BRIC, University of North Carolina, Chapel Hill, North Carolina 27599 (United States)] [Department of Radiology and BRIC, University of North Carolina, Chapel Hill, North Carolina 27599 (United States); Lian, Jun [Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina 27599 (United States)] [Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina 27599 (United States)

    2013-12-15

    Purpose: 4D-CT typically delivers more accurate information about anatomical structures in the lung, over 3D-CT, due to its ability to capture visual information of the lung motion across different respiratory phases. This helps to better determine the dose during radiation therapy for lung cancer. However, a critical concern with 4D-CT that substantially compromises this advantage is the low superior-inferior resolution due to less number of acquired slices, in order to control the CT radiation dose. To address this limitation, the authors propose an approach to reconstruct missing intermediate slices, so as to improve the superior-inferior resolution.Methods: In this method the authors exploit the observation that sampling information across respiratory phases in 4D-CT can be complimentary due to lung motion. The authors’ approach uses this locally complimentary information across phases in a patch-based sparse-representation framework. Moreover, unlike some recent approaches that treat local patches independently, the authors’ approach employs the group-sparsity framework that imposes neighborhood and similarity constraints between patches. This helps in mitigating the trade-off between noise robustness and structure preservation, which is an important consideration in resolution enhancement. The authors discuss the regularizing ability of group-sparsity, which helps in reducing the effect of noise and enables better structural localization and enhancement.Results: The authors perform extensive experiments on the publicly available DIR-Lab Lung 4D-CT dataset [R. Castillo, E. Castillo, R. Guerra, V. Johnson, T. McPhail, A. Garg, and T. Guerrero, “A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets,” Phys. Med. Biol. 54, 1849–1870 (2009)]. First, the authors carry out empirical parametric analysis of some important parameters in their approach. The authors then demonstrate, qualitatively as well as quantitatively, the ability of their approach to achieve more accurate and better localized results over bicubic interpolation as well as a related state-of-the-art approach. The authors also show results on some datasets with tumor, to further emphasize the clinical importance of their method.Conclusions: The authors have proposed to improve the superior-inferior resolution of 4D-CT by estimating intermediate slices. The authors’ approach exploits neighboring constraints in the group-sparsity framework, toward the goal of achieving better localization and noise robustness. The authors’ results are encouraging, and positively demonstrate the role of group-sparsity for 4D-CT resolution enhancement.

  4. 1682 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 31, NO. 9, SEPTEMBER 2012 Low-Dose X-ray CT Reconstruction

    E-Print Network [OSTI]

    Wang, Ge

    1682 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 31, NO. 9, SEPTEMBER 2012 Low-Dose X-ray CT and other diseases. How to reduce radiation dose while maintaining the diagnostic per- formance is a major- straint in terms of total variation (TV) minimization has already led to promising results for low-dose CT

  5. Database-Assisted Low-Dose CT Image Restoration Wei Xu, Sungsoo Ha and Klaus Mueller, Senior Member, IEEE

    E-Print Network [OSTI]

    Database-Assisted Low-Dose CT Image Restoration Wei Xu, Sungsoo Ha and Klaus Mueller, Senior Member, IEEE Abstract­ The image quality of low-dose CT scans typically suffers greatly from the limited utilization of X-ray radiation. Although the harmful effects to patient health are reduced, the low quality

  6. Manifold Learning for 4D CT Reconstruction of the Lung Manfred Georg*, Richard Souvenir, Andrew Hope, Robert Pless*

    E-Print Network [OSTI]

    Pless, Robert

    Manifold Learning for 4D CT Reconstruction of the Lung Manfred Georg*, Richard Souvenir, Andrew, Canada Andrew.Hope@rmp.uhn.on.ca Abstract Computed Tomography is used to create models of lung dynamics because it provides high contrast images of lung tissue. Creating 4D CT models which capture dynamics

  7. USPSTF Recommends Low-Dose CT Screening for Heavy Smoke Published on Cancer Network (http://www.cancernetwork.com)

    E-Print Network [OSTI]

    Serfling, Robert

    remains the leading cause of cancer death in the United States, and is the third most common of all radiography, and found an overall reduction in death from any cause in the CT group of 6.7% (95% CI, 1, lie largely in the high rates of false positives. A total of 96.4% of the positive low-dose CT results

  8. Does dual-energy CT of lower-extremity tendons incur penalties in patient radiation exposure or reduced multiplanar reconstruction image quality?

    E-Print Network [OSTI]

    2008-01-01

    diagnostic value of dual-energy CT and MRI in the detectionusing dual-source dual-energy MDCT: Results of JAFROCfor dose reduction in dual energy hepatic CT using non-

  9. 6.13 Greenhouse Climates M Pagani, Yale University, New Haven, CT, USA

    E-Print Network [OSTI]

    6.13 Greenhouse Climates M Pagani, Yale University, New Haven, CT, USA M Huber, Purdue University Hyperthermals 284 6.13.4 The Case For and Against Glaciations During Greenhouse Climates 286 6.13.5 Greenhouse Climates and Organic Carbon Burial 288 6.13.6 Climate Modeling and the Challenges of Greenhouse Temperature

  10. VERY BASIC LIE THEORY Department of Mathematics, Yale University, New Haven, CT 06520

    E-Print Network [OSTI]

    Berenstein, Arkady

    VERY BASIC LIE THEORY ROGER HOWE Department of Mathematics, Yale University, New Haven, CT 06520 Lie theory, the theory of Lie groups, Lie algebras and their applications, is a fundamental part variables), group and ring theory, number theory, and physics, from classical to quantum and relativistic

  11. SCIPP 06/04 1 Prototype Tracking Studies for Proton CT

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    SCIPP 06/04 1 Prototype Tracking Studies for Proton CT Nate Blumenkrantz, Jason Feldt, Jason the feasibility of proton computed tomography, the most likely path (MLP) of protons inside an absorber resolution. The locations of 200 MeV protons were measured at three different absorber depth of PMMA (3.75, 6

  12. 3501 FR.03 C&T and M&P Employee Record Completion Prepared by

    E-Print Network [OSTI]

    Post, David M.

    3501 FR.03 C&T and M&P Employee Record Completion Prepared by: name department phone date Authorized by: name title signature date Employee: Effective Date: last name first name m.i. Social Security form Home Address Additional Address Details Flexfield >Enter directory listing preference (default

  13. Vertex2002 pCT: Hartmut F.-W. Sadrozinski , SCIPP Initial Studies in Proton Computed

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    =>Energy to better than % · Improve energy determination with statistics 52 2 ~D A N D d. Shahnazi Loma Linda University Medical Center, Loma Linda, CA 92354 · Proton Energy Loss in Matter · Proton Detector array · Proton CT replaces X-ray absorption with proton energy loss to reconstruct mass density

  14. Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning

    E-Print Network [OSTI]

    Chen, Tsuhan

    in CTP performed at low radiation dose. We first build a dictionary from high-dose perfusion maps usingTowards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online maps of blood flow tend to be noisy, especially in low-dose CTP, due to the noisy contrast enhancement

  15. Multi-Material Decomposition Using Statistical Image Reconstruction in X-Ray CT

    E-Print Network [OSTI]

    Fessler, Jeffrey A.

    propose a penalized- likelihood (PL) method with edge-preserving regularizers for each material image reconstruction I. INTRODUCTION Dual-energy (DE) CT reconstruction methods typically re- construct. It obtains a dual-material-density pair through projection-based decomposition approach from DECT

  16. Computer modeling of the spatial resolution properties of a dedicated breast CT system

    SciTech Connect (OSTI)

    Yang Kai; Kwan, Alexander L. C.; Boone, John M. [Department of Radiology, University of California, Davis Medical Center, 4860 Y Street, Suite 3100 Ellison Building, Sacramento, California 95817 (United States) and Department of Biomedical Engineering, University of California, Davis, California, 95616 (United States); Department of Radiology, University of California, Davis Medical Center, 4860 Y Street, Suite 3100 Ellison Building, Sacramento, California 95817 (United States); Department of Radiology, University of California, Davis Medical Center, 4860 Y Street, Suite 3100 Ellison Building, Sacramento, California 95817 (United States) and Department of Biomedical Engineering, University of California, Davis, California 95616 (United States)

    2007-06-15

    Computer simulation methods were used to evaluate the spatial resolution properties of a dedicated cone-beam breast CT system. x-ray projection data of a 70 {mu}m nickel-chromium wire were simulated. The modulation transfer function (MTF) was calculated from the reconstructed axial images at different radial positions from the isocenter to study the spatial dependency of the spatial resolution of the breast CT scanner. The MTF was also calculated in both the radial and azimuthal directions. Subcomponents of the cone beam CT system that affect the MTF were modeled in the computer simulation in a serial manner, including the x-ray focal spot distribution, gantry rotation under the condition of continuous fluoroscopy, detector lag, and detector spatial resolution. Comparison between the computer simulated and physically measured MTF values demonstrates reasonable accuracy in the simulation process, with a small systematic difference ({approx}9.5{+-}6.4% difference, due to unavoidable uncertainties from physical measurement and system calibration). The intrinsic resolution in the radial direction determined by simulation was about 2.0 mm{sup -1} uniformly through the field of view. The intrinsic resolution in the azimuthal direction degrades from 2.0 mm{sup -1} at the isocenter to 1.0 mm{sup -1} at the periphery with 76.9 mm from the isocenter. The results elucidate the intrinsic spatial resolution properties of the prototype breast CT system, and suggest ways in which spatial resolution can be improved with system modification.

  17. Volume Estimation and Surgery Planning from Lung CT Images ANA ELISA FERREIRA SCHMIDT

    E-Print Network [OSTI]

    Volume Estimation and Surgery Planning from Lung CT Images ANA ELISA FERREIRA SCHMIDT 1 , PAULO to assist the planning of lung reduction surgeries, a technique that has been proposed for the treatment of certain illnesses. Doctors need to decide which portions of the lungs to remove to achieve a certain

  18. 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.

  19. Technical Reports Ultra-low Dose Lung CT Perfusion Regularized by

    E-Print Network [OSTI]

    Wang, Ge

    Technical Reports Ultra-low Dose Lung CT Perfusion Regularized by a Previous Scan1 Hengyong Yu, Ph­regularized reconstruction (PSRR) method was proposed to reduce radiation dose and applied to lung perfusion studies. Normal and ultra-low-dose lung computed tomographic perfusion studies were compared in terms of the estimation

  20. Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes

    E-Print Network [OSTI]

    Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes Michal Sofka1 , Jens Imaging, Siemens Healthcare, Oxford, UK Abstract. Simple algorithms for segmenting healthy lung parenchyma an ini- tialization of a statistical shape model of the lungs. The initialization first detects

  1. A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans

    E-Print Network [OSTI]

    Louisville, University of

    A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans Ayman El-Baz1 the high accuracy of the proposed approach. 1 Introduction Because lung cancer is the most common cause 1, an initial LDCT slice is segmented with our algorithms introduced in [3] to isolate lung tissues

  2. Automatic Lung Segmentation of Volumetric Low-Dose CT Scans Using Graph Cuts

    E-Print Network [OSTI]

    Louisville, University of

    Automatic Lung Segmentation of Volumetric Low-Dose CT Scans Using Graph Cuts Asem M. Ali and Aly A for unsupervised segmentation of the lung region from low dose computed tomography (LDCT) images. We follow distribution model. To better spec- ify region borders between lung and chest, each empirical distribution

  3. CLASSIFICATION OF BIOMEDICAL HIGH-RESOLUTION MICRO-CT IMAGES FOR DIRECT VOLUME RENDERING

    E-Print Network [OSTI]

    López-Sánchez, Maite

    CLASSIFICATION OF BIOMEDICAL HIGH-RESOLUTION MICRO-CT IMAGES FOR DIRECT VOLUME RENDERING Maite L of biomedical high- resolution 3D images. More concretely, it proposes a learn- ing pipeline process and refinements. KEYWORDS Machine Learning, Biomedical 3D Images, Classification, CRF (Conditional Random Fields

  4. Hydro-thermal flow in a rough fracture EC Contract SES6-CT-2003-502706

    E-Print Network [OSTI]

    Toussaint, Renaud

    Hydro-thermal flow in a rough fracture EC Contract SES6-CT-2003-502706 PARTICIPANT ORGANIZATION NAME: CNRS Synthetic 2nd year report Related with Work Package............ HYDRO-THERMAL FLOW in the influence of a realistic geometry of the fracture on its hydro-thermal response. Several studies have

  5. A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts

    E-Print Network [OSTI]

    Farag, Aly A.

    of the vertebral bones of spine column with a particular focus on the lumbar spine. The primary goalA Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts Melih S to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segmentation framework of VBs

  6. Leakage through Liners under High Hydraulic Heads C.T. Weber1

    E-Print Network [OSTI]

    Zornberg, Jorge G.

    of this project is to contribute towards the use of geosynthetics in the design of dams and other hydraulic of geomembrane and composite liners for hydraulic systems such as dams involves heads several hundreds largerLeakage through Liners under High Hydraulic Heads C.T. Weber1 and J.G. Zornberg2 1 Civil

  7. Automatic Lumbar Vertebra Segmentation from clinical CT for Wedge Compression Fracture Diagnosis

    E-Print Network [OSTI]

    Chaudhary, Vipin

    Automatic Lumbar Vertebra Segmentation from clinical CT for Wedge Compression Fracture Diagnosis, Williamsville, NY 14221 ABSTRACT Lumbar vertebral fractures vary greatly in types and causes and usually result from severe trauma or pathological conditions such as osteoporosis. Lumbar wedge compression fractures

  8. 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.

  9. 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.

  10. Compact Torus Accelerator Driven Inertial Confinement Fusion Power Plant HYLIFE-CT

    SciTech Connect (OSTI)

    Logan, B G; Moir, R W; Tabak, M; Bieri, R L; Hammer, J H; Hartman, C W; Hoffman, M A; Leber, R L; Petzoldt, R W; Tobin, M T

    2005-03-30

    A Compact Torus Accelerator (CTA) is used to accelerate a Compact Torus (CT) to 35 MJ kinetic energy which is focused to a 20 mm diameter where its kinetic energy is converted to a shaped x-ray pulse of 30 MJ. The capsule yield with a prescribed radiation profile is calculated to be (gain 60 times 30 MJ) 1.8 GJ. Schemes for achieving this profile are described. The CT is accelerated in a length of 30 m within an annulus of 150 mm ID and 300 mm OD where the maximum magnetic field is 28 T. A 2.5 m conical taper reduces the mean diameter of the CT from 225 mm to 20 mm. The conical section is made out of solid Li{sub 2}BeF{sub 4}. The target with its frozen conical guide section is accurately placed at the end of the accelerator about once per second. The reactor called HYLIFE uses liquid jets to attenuate blast effects including shrapnel from the shattered conical guide section and radiation so that the vessel is expected to last 30 years. The calculated cost of electricity is estimated (in constant 1988 dollars) to be about 4.8 cents/kW {center_dot} h compared to the future cost of nuclear and coal of 4.3 to 5.8 cents/kW {center_dot} h. The CT driver contributes 17% to the cost of electricity. Present CT's make 2 x 10{sup 8} W/cm{sup 2}; the goal of experiments in progress is 10{sup 11} W/cm{sup 2} with further modifications to allow 10{sup 12}W/cm{sup 2}, whereas the reactor requires 10{sup 15} W/cm{sup 2} in a shaped pulse.

  11. Reconstruction of a time-averaged midposition CT scan for radiotherapy planning of lung cancer patients using deformable registration

    SciTech Connect (OSTI)

    Wolthaus, J. W. H.; Sonke, J.-J.; Herk, M. van; Damen, E. M. F. [Department of Radiation Oncology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam (Netherlands)

    2008-09-15

    Purpose: lower lobe lung tumors move with amplitudes of up to 2 cm due to respiration. To reduce respiration imaging artifacts in planning CT scans, 4D imaging techniques are used. Currently, we use a single (midventilation) frame of the 4D data set for clinical delineation of structures and radiotherapy planning. A single frame, however, often contains artifacts due to breathing irregularities, and is noisier than a conventional CT scan since the exposure per frame is lower. Moreover, the tumor may be displaced from the mean tumor position due to hysteresis. The aim of this work is to develop a framework for the acquisition of a good quality scan representing all scanned anatomy in the mean position by averaging transformed (deformed) CT frames, i.e., canceling out motion. A nonrigid registration method is necessary since motion varies over the lung. Methods and Materials: 4D and inspiration breath-hold (BH) CT scans were acquired for 13 patients. An iterative multiscale motion estimation technique was applied to the 4D CT scan, similar to optical flow but using image phase (gray-value transitions from bright to dark and vice versa) instead. From the (4D) deformation vector field (DVF) derived, the local mean position in the respiratory cycle was computed and the 4D DVF was modified to deform all structures of the original 4D CT scan to this mean position. A 3D midposition (MidP) CT scan was then obtained by (arithmetic or median) averaging of the deformed 4D CT scan. Image registration accuracy, tumor shape deviation with respect to the BH CT scan, and noise were determined to evaluate the image fidelity of the MidP CT scan and the performance of the technique. Results: Accuracy of the used deformable image registration method was comparable to established automated locally rigid registration and to manual landmark registration (average difference to both methods <0.5 mm for all directions) for the tumor region. From visual assessment, the registration was good for the clearly visible features (e.g., tumor and diaphragm). The shape of the tumor, with respect to that of the BH CT scan, was better represented by the MidP reconstructions than any of the 4D CT frames (including MidV; reduction of 'shape differences' was 66%). The MidP scans contained about one-third the noise of individual 4D CT scan frames. Conclusions: We implemented an accurate method to estimate the motion of structures in a 4D CT scan. Subsequently, a novel method to create a midposition CT scan (time-weighted average of the anatomy) for treatment planning with reduced noise and artifacts was introduced. Tumor shape and position in the MidP CT scan represents that of the BH CT scan better than MidV CT scan and, therefore, was found to be appropriate for treatment planning.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. Transhepatic CT-Guided Radiofrequency Ablation of Adrenal Metastases from Hepatocellular Carcinoma

    SciTech Connect (OSTI)

    Kuehl, Hilmar, E-mail: hilmar.kuehl@uni-due.de; Stattaus, Joerg; Forsting, Michael; Antoch, Gerald [University Hospital Essen, University at Duisburg-Essen, Department of Diagnostic and Interventional Radiology and Neuroradiology (Germany)

    2008-11-15

    The prognosis of patients with adrenal metastases from hepatocellular carcinoma (HCC) has been poor, and aggressive treatment of these tumors is mandatory to improve patients' survival. Since adrenalectomy may be difficult to perform after previous surgery of the right liver lobe, other approaches are required to treat the adrenal mass. This report aims at demonstrating the feasibility of CT-guided transhepatic radiofrequency ablation of right adrenal HCC metastases pretreated with chemoembolization in patients unable to undergo surgical resection.

  19. Cone Beam CT Imaging Analysis of Interfractional Variations in Bladder Volume and Position During Radiotherapy for Bladder Cancer

    SciTech Connect (OSTI)

    Yee, Don, E-mail: dony@ualberta.c [Department of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta (Canada); Parliament, Matthew [Department of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta (Canada); Rathee, Satyapal [Department of Medical Physics, Cross Cancer Institute, Edmonton, Alberta (Canada); Ghosh, Sunita [Department of Experimental Oncology, Cross Cancer Institute, Edmonton, Alberta (Canada); Ko, Lawrence [Department of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta (Canada); Murray, Brad [Department of Medical Physics, Cross Cancer Institute, Edmonton, Alberta (Canada)

    2010-03-15

    Purpose: To quantify daily bladder size and position variations during bladder cancer radiotherapy. Methods and Materials: Ten bladder cancer patients underwent daily cone beam CT (CBCT) imaging of the bladder during radiotherapy. Bladder and planning target volumes (bladder/PTV) from CBCT and planning CT scans were compared with respect to bladder center-of-mass shifts in the x (lateral), y (anterior-posterior), and z (superior-inferior) coordinates, bladder/PTV size, bladder/PTV margin positions, overlapping areas, and mutually exclusive regions. Results: A total of 262 CBCT images were obtained from 10 bladder cancer patients. Bladder center of mass shifted most in the y coordinate (mean, -0.32 cm). The anterior bladder wall shifted the most (mean, -0.58 cm). Mean ratios of CBCT-derived bladder and PTV volumes to planning CT-derived counterparts were 0.83 and 0.88. The mean CBCT-derived bladder volume (+- standard deviation [SD]) outside the planning CT counterpart was 29.24 cm{sup 3} (SD, 29.71 cm{sup 3}). The mean planning CT-derived bladder volume outside the CBCT counterpart was 47.74 cm{sup 3} (SD, 21.64 cm{sup 3}). The mean CBCT PTV outside the planning CT-derived PTV was 47.35 cm{sup 3} (SD, 36.51 cm{sup 3}). The mean planning CT-derived PTV outside the CBCT-derived PTV was 93.16 cm{sup 3} (SD, 50.21). The mean CBCT-derived bladder volume outside the planning PTV was 2.41 cm{sup 3} (SD, 3.97 cm{sup 3}). CBCT bladder/ PTV volumes significantly differed from planning CT counterparts (p = 0.047). Conclusions: Significant variations in bladder and PTV volume and position occurred in patients in this trial.

  20. CT-Guided Radiofrequency Ablation in Patients with Hepatic Metastases from Breast Cancer

    SciTech Connect (OSTI)

    Jakobs, Tobias F., E-mail: tobias.jakobs@med.uni-muenchen.de; Hoffmann, Ralf-Thorsten; Schrader, Angelika [Ludwig-Maximilians-University of Munich, Department of Radiology (Germany); Stemmler, Hans Joachim [Ludwig-Maximilians-University of Munich, Department of Internal Medicine III (Germany); Trumm, Christoph [Ludwig-Maximilians-University of Munich, Department of Radiology (Germany); Lubienski, Andreas [University of Schleswig-Holstein, Department of Radiology (Germany); Murthy, Ravi [The University of Texas M. D. Anderson Cancer Center, Division of Diagnostic Imaging (United States); Helmberger, Thomas K. [Klinikum Bogenhausen, Department of Radiology (Germany); Reiser, Maximilian F. [Ludwig-Maximilians-University of Munich, Department of Radiology (Germany)

    2009-01-15

    The purpose of this study was to evaluate technical success, technique effectiveness, and survival following radiofrequency ablation for breast cancer liver metastases and to determine prognostic factors. Forty-three patients with 111 breast cancer liver metastases underwent CT-guided percutaneous radiofrequency (RF) ablation. Technical success and technique effectiveness was evaluated by performing serial CT scans. We assessed the prognostic value of hormone receptor status, overexpression of human epidermal growth factor receptor 2 (HER2), and presence of extrahepatic tumor spread. Survival rates were calculated using the Kaplan-Meier method. Technical success was achieved in 107 metastases (96%). Primary technique effectiveness was 96%. During follow-up local tumor progression was observed in 15 metastases, representing a secondary technique effectiveness of 86.5%. The overall time to progression to the liver was 10.5 months. The estimated overall median survival was 58.6 months. There was no significant difference in terms of survival probability with respect to hormone receptor status, HER2 overexpression, and presence of isolated bone metastases. Survival was significantly lower among patients with extrahepatic disease, with the exception of skeletal metastases. We conclude that CT-guided RF ablation of liver metastases from breast cancer can be performed with a high degree of technical success and technique effectiveness, providing promising survival rates in patients with no visceral extrahepatic disease. Solitary bone metastases did not negatively affect survival probability after RF ablation.

  1. 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.

  2. 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

  3. 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.

  4. Comparison of an alternative and existing binning methods to reduce the acquisition duration of 4D PET/CT

    SciTech Connect (OSTI)

    Didierlaurent, David, E-mail: dadidierlaurent@gmail.com; Ribes, Sophie; Caselles, Olivier [SIMAD, LU 50, Université Toulouse III Paul Sabatier, Toulouse 31062 (France); Jaudet, Cyril; Dierickx, Lawrence O.; Zerdoud, Slimane; Brillouet, Severine; Weits, Kathleen [Institut Claudius Regaud, 20-24 Rue du Pont Saint-Pierre, Toulouse 31052 (France); Batatia, Hadj [IRIT-INPT, Université Toulouse III Paul Sabatier, Toulouse 31071 (France); Courbon, Frédéric [GCS CHU-CLCC, Université Toulouse III Paul Sabatier, Toulouse 31052 (France)

    2014-11-01

    Purpose: Respiratory motion is a source of artifacts that reduce image quality in PET. Four dimensional (4D) PET/CT is one approach to overcome this problem. Existing techniques to limiting the effects of respiratory motions are based on prospective phase binning which requires a long acquisition duration (15–25 min). This time is uncomfortable for the patients and limits the clinical exploitation of 4D PET/CT. In this work, the authors evaluated an existing method and an alternative retrospective binning method to reduce the acquisition duration of 4D PET/CT. Methods: The authors studied an existing mixed-amplitude binning (MAB) method and an alternative binning method by mixed-phases (MPhB). Before implementing MPhB, they analyzed the regularity of the breathing patterns in patients. They studied the breathing signal drift and missing CT slices that could be challenging for implementing MAB. They compared the performance of MAB and MPhB with current binning methods to measure the maximum uptake, internal volume, and maximal range of tumor motion. Results: MPhB can be implemented depending on an optimal phase (in average, the exhalation peak phase ?4.1% of the entire breathing cycle duration). Signal drift of patients was in average 35% relative to the breathing amplitude. Even after correcting this drift, MAB was feasible in 4D CT for only 64% of patients. No significant differences appeared between the different binning methods to measure the maximum uptake, internal volume, and maximal range of tumor motion. The authors also determined the inaccuracies of MAB and MPhB to measure the maximum amplitude of tumor motion with three bins (less than 3 mm for movement inferior to 12 mm, up to 6.4 mm for a 21 mm movement). Conclusions: The authors proposed an alternative binning method by mixed-phase binning that halves the acquisition duration of 4D PET/CT. Mixed-amplitude binning was challenging because of signal drift and missing CT slices. They showed that more than three bins were necessary for a more accurate measurement of the maximum amplitude of the tumor motion. However, the current 4D-CT technology limits the increase of the number of bins in 4D PET/CT because of missing CT slices. One can reconstruct 4D PET images with more bins but without attenuation/scatter correction.

  5. 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 Savitzky–Golay (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.

  6. 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.

  7. Stationary table CT dosimetry and anomalous scanner-reported values of CTDI{sub vol}

    SciTech Connect (OSTI)

    Dixon, Robert L., E-mail: rdixon@wfubmc.edu [Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157 (United States); Boone, John M. [Departments of Radiology and Biomedical Engineering, University of California Davis, Sacramento, California 95817 (United States)] [Departments of Radiology and Biomedical Engineering, University of California Davis, Sacramento, California 95817 (United States)

    2014-01-15

    Purpose: Anomalous, scanner-reported values of CTDI{sub vol} for stationary phantom/table protocols (having elevated values of CTDI{sub vol} over 300% higher than the actual dose to the phantom) have been observed; which are well-beyond the typical accuracy expected of CTDI{sub vol} as a phantom dose. Recognition of these outliers as “bad data” is important to users of CT dose index tracking systems (e.g., ACR DIR), and a method for recognition and correction is provided. Methods: Rigorous methods and equations are presented which describe the dose distributions for stationary-table CT. A comparison with formulae for scanner-reported values of CTDI{sub vol} clearly identifies the source of these anomalies. Results: For the stationary table, use of the CTDI{sub 100} formula (applicable to a moving phantom only) overestimates the dose due to extra scatter and also includes an overbeaming correction, both of which are nonexistent when the phantom (or patient) is held stationary. The reported DLP remains robust for the stationary phantom. Conclusions: The CTDI-paradigm does not apply in the case of a stationary phantom and simpler nonintegral equations suffice. A method of correction of the currently reported CTDI{sub vol} using the approach-to-equilibrium formula H(a) and an overbeaming correction factor serves to scale the reported CTDI{sub vol} values to more accurate levels for stationary-table CT, as well as serving as an indicator in the detection of “bad data.”.

  8. 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.

  9. 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.

  10. Independent measurement of femoral cortical thickness and cortical bone density using clinical CT

    E-Print Network [OSTI]

    Treece, G. M.; Gee, A. H.

    2014-12-05

    for CBM v2 in eq. (4) by using eq. (1) to simulate the CT data variation c(x) through ideal cortices, i.e. with perfectly constant density and no pores, surrounded by material which is also at a constant (but lower) density. These cortices were blurred... are shown in Fig. 4. 3.2. Comparing HRpQCT and QCT data Moving on from simulations, we examined data from a study ethically approved by the Medical University of 5 0 1 2 3 4 5 0 500 1000 1500 thickness (mm) de ns ity (H U) yb y m raw data model fit...

  11. 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.

  12. 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.

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

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth Dakota Edgemont, South Dakota,You are hereNY 01NJBrass Co - CT

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

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth Dakota Edgemont,Manufacturing - OHSelling Corp - CT 0-01 FUSRAP

  15. Nanostructures from POSS-Grafted Block Copolymer Precursors Seung B. Chuna

    E-Print Network [OSTI]

    Mather, Patrick T.

    ,b,* a Polymer Program, b Chemical Engineering Department, University of Connecticut, Storrs, CT 06269, U,2-addition) available to react with hydride-substituted POSS (isobutyldimethyl silane-POSS) to form a grafted

  16. Primal-Dual Algorithms for QoS Multimedia Multicast

    E-Print Network [OSTI]

    Zelikovsky, Alexander

    and Engineering University of Connecticut, Storrs, CT 06269 E-mail: ion@engr.uconn.edu£Department of Electrical, the goal is to find a Steiner tree containing the source, and the cheapest assignment of bandwidth to each

  17. PrimalDual Algorithms for QoS Multimedia Multicast

    E-Print Network [OSTI]

    Zelikovsky, Alexander

    and Engineering University of Connecticut, Storrs, CT 06269 E­mail: ion@engr.uconn.edu § Department of Electrical, the goal is to find a Steiner tree containing the source, and the cheapest assignment of bandwidth to each

  18. Z .Spectrochimica Acta Part B 56 2001 1565 1592 Laser excited atomic fluorescence spectrometry

    E-Print Network [OSTI]

    Michel, Robert G.

    of Chemistry, Uni¨ersity of Connecticut, 55 North Eagle¨ille Road, Storrs, CT 06269-3060, USA Received 20 April beyond the elements like uranium where the spectral isotope splitting is greater than most elements

  19. Predicting resistance mutations using protein design algorithms

    E-Print Network [OSTI]

    Richardson, David

    , University of Connecticut, Storrs, CT 06269; b Department of Computer Science, Duke University; and c Department of Biochemistry, Duke University, Durham, NC 27708-0129 Edited by Robert M. Stroud, University

  20. 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.