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Title: 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 Lab. (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 G01V - GEOPHYSICS
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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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Works referenced in this record:

Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
journal, January 2008


Quantitative Abel tomography robust to noisy, corrupted and missing data
journal, November 2009


Algorithm 909: NOMAD: Nonlinear Optimization with the MADS Algorithm
journal, February 2011


Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
journal, January 2008