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 T1, T2, and/or T1rho 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 T1, T2, and T.sub.1.rho. can be compared to known classification parameter values to determine whether a particular substance is a known material.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- Assignee:
- U.S. Department of Energy (Washington, DC)
- Patent Number(s):
- 9,557,394
- Application Number:
- 13/869,705
- OSTI ID:
- 1341886
- Resource Relation:
- Patent File Date: 2013 Apr 24
- Country of Publication:
- United States
- Language:
- English
Similar Records
Prediction of radiation levels in residences: A methodological comparison of CART (Classification and Regression Tree Analysis) and conventional regression
TU-EF-BRA-00: MR Basics I