Invention Grant
- Patent Title: Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry
- Patent Title (中): 使用核磁共振弛豫法假设驱动的材料分类
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Application No.: US13869718Application Date: 2013-04-24
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Publication No.: US09411031B2Publication Date: 2016-08-09
- Inventor: Michelle A. Espy , Andrei N. Matlashov , Larry J. Schultz , Petr L. Volegov
- Applicant: Los Alamos National Security, LLC
- Applicant Address: US NM Los Alamos
- Assignee: Los Alamos National Security, LLC
- Current Assignee: Los Alamos National Security, LLC
- Current Assignee Address: US NM Los Alamos
- Agency: Lewis Roca Rothgerber Christie LLP
- Main IPC: G01N23/04
- IPC: G01N23/04 ; G01R33/44 ; G01N24/08
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 T1, T2, T1ρ, 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.
Public/Granted literature
- US20130317758A1 Hypothesis-Driven Classification of Materials Using Nuclear Magnetic Resonance Relaxometry Public/Granted day:2013-11-28
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