Global to push GA events into
skip to main content

Title: Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption

Methods for determining the identity of a substance are provided. A classification parameter set is defined to allow identification of substances that previously could not be identified or to allow identification of substances with a higher degree of confidence. The classification parameter set may include at least one of relative nuclear susceptibility (RNS) or an x-ray linear attenuation coefficient (LAC). RNS represents the density of hydrogen nuclei present in a substance relative to the density of hydrogen nuclei present in water. The extended classification parameter set may include T.sub.1, T.sub.2, and/or T.sub.1.rho. as well as at least one additional classification parameter comprising one of RNS or LAC. Values obtained for additional classification parameters as well as values obtained for T.sub.1, T.sub.2, and T.sub.1.rho. can be compared to known classification parameter values to determine whether a particular substance is a known material.
Inventors:
; ; ; ; ; ; ;
Issue Date:
OSTI Identifier:
1341886
Assignee:
U.S. Department of Energy (Washington, DC) LANL
Patent Number(s):
9,557,394
Application Number:
13/869,705
Contract Number:
AC52-06NA25396
Resource Relation:
Patent File Date: 2013 Apr 24
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Works referenced in this record:

Toward direct mapping of neuronal activity: MRI detection of ultraweak, transient magnetic field changes
journal, June 2002
  • Bodurka, Jerzy; Bandettini, Peter A.
  • Magnetic Resonance in Medicine, Vol. 47, Issue 6, p. 1052-1058
  • DOI: 10.1002/mrm.10159

Directly mapping magnetic field effects of neuronal activity by magnetic resonance imaging
journal, August 2003
  • Xiong, Jinhu; Fox, Peter T.; Gao, Jia-Hong
  • Human Brain Mapping, Vol. 20, Issue 1, p. 41-49
  • DOI: 10.1002/hbm.10124