Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry

Espy, Michelle A.; Matlashov, Andrei N.; Schultz, Larry J.; Volegov, Petr L.

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Title: Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry

Abstract

Technologies related to identification of a substance in an optimized manner are provided. A reference group of known materials is identified. Each known material has known values for several classification parameters. The classification parameters comprise at least one of T.sub.1, T.sub.2, T.sub.1.rho., a relative nuclear susceptibility (RNS) of the substance, and an x-ray linear attenuation coefficient (LAC) of the substance. A measurement sequence is optimized based on at least one of a measurement cost of each of the classification parameters and an initial probability of each of the known materials in the reference group.

Inventors:: Espy, Michelle A.; Matlashov, Andrei N.; Schultz, Larry J.; Volegov, Petr L.

Issue Date:: Tue Aug 09 00:00:00 EDT 2016

Research Org.:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1288655

Patent Number(s):: 9411031

Application Number:: 13/869,718

Assignee:: Los Alamos National Security, LLC (Los Alamos, NM)

Patent Classifications (CPCs):: G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES

G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES

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G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G01N24/084 - {Detection of potentially hazardous samples, e.g. toxic samples, explosives, drugs, firearms, weapons}

G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
G01R33/44 - using nuclear magnetic resonance [NMR]
G01R33/448 - {Relaxometry, i.e. quantification of relaxation times or spin density

Show less

DOE Contract Number:: AC52-06NA25396

Resource Type:: Patent

Resource Relation:: Patent File Date: 2013 Apr 24

Country of Publication:: United States

Language:: English

Subject:: 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Citation Formats


                    Espy, Michelle A., Matlashov, Andrei N., Schultz, Larry J., and Volegov, Petr L. Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry.  United States: N. p., 2016. 
        Web.

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                    Espy, Michelle A., Matlashov, Andrei N., Schultz, Larry J., & Volegov, Petr L. Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry.  United States.

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                    Espy, Michelle A., Matlashov, Andrei N., Schultz, Larry J., and Volegov, Petr L. Tue .  
        "Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry".  United States.  https://www.osti.gov/servlets/purl/1288655.

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@article{osti_1288655,

  title        = {Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry},

  author       = {Espy, Michelle A. and Matlashov, Andrei N. and Schultz, Larry J. and Volegov, Petr L.},

  abstractNote = {Technologies related to identification of a substance in an optimized manner are provided. A reference group of known materials is identified. Each known material has known values for several classification parameters. The classification parameters comprise at least one of T.sub.1, T.sub.2, T.sub.1.rho., a relative nuclear susceptibility (RNS) of the substance, and an x-ray linear attenuation coefficient (LAC) of the substance. A measurement sequence is optimized based on at least one of a measurement cost of each of the classification parameters and an initial probability of each of the known materials in the reference group.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Aug 09 00:00:00 EDT 2016},

  month        = {Tue Aug 09 00:00:00 EDT 2016}

}

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Similar Records

Title: Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry

Abstract

Citation Formats

Zeugmatography process patent, June 1983

Method and apparatus for measuring the distribution of elements contained in sample patent, January 1997

Apparatus and method for generating short pulses for NMR and NQR processing patent, September 1998

Temperature compensated magnetic field apparatus for NMR measurements patent, June 2003

Method and apparatus for high resolution ex-situ NMR spectroscopy patent, January 2004

Method of multivariate spectral analysis patent, January 2004

Nuclear resonance based scanning system having an automatic object identification and attribute information acquisition and linking mechanism integrated therein patent, June 2006

Remote NMR/MRI detection of laser polarized gases patent, June 2006

NMR and MRI apparatus and method patent, March 2007

Method and apparatus for detecting contraband using radiated compound signatures patent, July 2007

Mine detector with NQR-SQUID patent, July 2008

Method for determining the content of at least one component of a sample by means of a nuclear magnetic resonance pulse spectrometer patent, July 2008

Method for molecule examination by NMR spectroscopy patent, June 2009

Direct imaging of neural currents using ultra-low field magnetic resonance techniques patent, August 2009

Ultra-low field nuclear magnetic resonance and magnetic resonance imaging to discriminate and identify materials patent, March 2010

Noise cancellation in magnetoencephalography and electroencephalography with isolated reference sensors patent, June 2010

Method, a processor, and a system for identifying a substance patent, July 2010

Toward direct mapping of neuronal activity: MRI detection of ultraweak, transient magnetic field changes journal, June 2002

SQUID-Based Simultaneous Detection of NMR and Biomagnetic Signals at Ultra-Low Magnetic Fields journal, June 2005

SQUID detected NMR in microtesla magnetic fields journal, September 2004

Liquid-State NMR and Scalar Couplings in Microtesla Magnetic Fields journal, March 2002

Directly mapping magnetic field effects of neuronal activity by magnetic resonance imaging journal, August 2003

Zeugmatography process
patent, June 1983

Method and apparatus for measuring the distribution of elements contained in sample
patent, January 1997

Apparatus and method for generating short pulses for NMR and NQR processing
patent, September 1998

Temperature compensated magnetic field apparatus for NMR measurements
patent, June 2003

Method and apparatus for high resolution ex-situ NMR spectroscopy
patent, January 2004

Method of multivariate spectral analysis
patent, January 2004

Nuclear resonance based scanning system having an automatic object identification and attribute information acquisition and linking mechanism integrated therein
patent, June 2006

Remote NMR/MRI detection of laser polarized gases
patent, June 2006

NMR and MRI apparatus and method
patent, March 2007

Method and apparatus for detecting contraband using radiated compound signatures
patent, July 2007

Mine detector with NQR-SQUID
patent, July 2008

Method for determining the content of at least one component of a sample by means of a nuclear magnetic resonance pulse spectrometer
patent, July 2008

Method for molecule examination by NMR spectroscopy
patent, June 2009

Direct imaging of neural currents using ultra-low field magnetic resonance techniques
patent, August 2009

Ultra-low field nuclear magnetic resonance and magnetic resonance imaging to discriminate and identify materials
patent, March 2010

Noise cancellation in magnetoencephalography and electroencephalography with isolated reference sensors
patent, June 2010

Method, a processor, and a system for identifying a substance
patent, July 2010

Toward direct mapping of neuronal activity: MRI detection of ultraweak, transient magnetic field changes
journal, June 2002

SQUID-Based Simultaneous Detection of NMR and Biomagnetic Signals at Ultra-Low Magnetic Fields
journal, June 2005

SQUID detected NMR in microtesla magnetic fields
journal, September 2004

Liquid-State NMR and Scalar Couplings in Microtesla Magnetic Fields
journal, March 2002

Directly mapping magnetic field effects of neuronal activity by magnetic resonance imaging
journal, August 2003