Radiograph and passive data analysis using mixed variable optimization
Abstract
Disclosed herein are representative embodiments of methods, apparatus, and systems for performing radiography analysis. For example, certain embodiments perform radiographic analysis using mixed variable computation techniques. One exemplary system comprises a radiation source, a two-dimensional detector for detecting radiation transmitted through a object between the radiation source and detector, and a computer. In this embodiment, the computer is configured to input the radiographic image data from the two-dimensional detector and to determine one or more materials that form the object by using an iterative analysis technique that selects the one or more materials from hierarchically arranged solution spaces of discrete material possibilities and selects the layer interfaces from the optimization of the continuous interface data.
- Inventors:
- Issue Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1183344
- Patent Number(s):
- 9047397
- Application Number:
- 13/631,607
- 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 G01V - GEOPHYSICS
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 97 MATHEMATICS AND COMPUTING
Citation Formats
Temple, Brian A., Armstrong, Jerawan C., Buescher, Kevin L., and Favorite, Jeffrey A. Radiograph and passive data analysis using mixed variable optimization. United States: N. p., 2015.
Web.
Temple, Brian A., Armstrong, Jerawan C., Buescher, Kevin L., & Favorite, Jeffrey A. Radiograph and passive data analysis using mixed variable optimization. United States.
Temple, Brian A., Armstrong, Jerawan C., Buescher, Kevin L., and Favorite, Jeffrey A. Tue .
"Radiograph and passive data analysis using mixed variable optimization". United States. https://www.osti.gov/servlets/purl/1183344.
@article{osti_1183344,
title = {Radiograph and passive data analysis using mixed variable optimization},
author = {Temple, Brian A. and Armstrong, Jerawan C. and Buescher, Kevin L. and Favorite, Jeffrey A.},
abstractNote = {Disclosed herein are representative embodiments of methods, apparatus, and systems for performing radiography analysis. For example, certain embodiments perform radiographic analysis using mixed variable computation techniques. One exemplary system comprises a radiation source, a two-dimensional detector for detecting radiation transmitted through a object between the radiation source and detector, and a computer. In this embodiment, the computer is configured to input the radiographic image data from the two-dimensional detector and to determine one or more materials that form the object by using an iterative analysis technique that selects the one or more materials from hierarchically arranged solution spaces of discrete material possibilities and selects the layer interfaces from the optimization of the continuous interface data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {6}
}
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