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Title: Development of an ideal observer that incorporates nuisance parameters and processes list-mode data

Observer models were developed to process data in list-mode format in order to perform binary discrimination tasks for use in an arms-control-treaty context. Data used in this study was generated using GEANT4 Monte Carlo simulations for photons using custom models of plutonium inspection objects and a radiation imaging system. We evaluated observer model performance and then presented using the area under the receiver operating characteristic curve. Lastly, we studied the ideal observer under both signal-known-exactly conditions and in the presence of unknowns such as object orientation and absolute count-rate variability; when these additional sources of randomness were present, their incorporation into the observer yielded superior performance.
Authors:
 [1] ;  [2] ;  [3] ;  [3] ;  [3]
  1. Univ. of Arizona, Tucson, AZ (United States). College of Optical Sciences; Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Univ. of Arizona, Tucson, AZ (United States). College of Optical Sciences
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Publication Date:
Report Number(s):
SAND2016-0849J
Journal ID: ISSN 1084-7529; JOAOD6; 619016
Grant/Contract Number:
AC04-94AL85000; SAND2016-0849J
Type:
Accepted Manuscript
Journal Name:
Journal of the Optical Society of America. A, Optics, Image Science, and Vision
Additional Journal Information:
Journal Volume: 33; Journal Issue: 4; Journal ID: ISSN 1084-7529
Research Org:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
Country of Publication:
United States
Language:
English
Subject:
61 RADIATION PROTECTION AND DOSIMETRY
OSTI Identifier:
1249070
Alternate Identifier(s):
OSTI ID: 1242434

MacGahan, Christopher Jonathan, Kupinski, Matthew Alan, Hilton, Nathan R., Brubaker, Erik M., and Johnson, William C.. Development of an ideal observer that incorporates nuisance parameters and processes list-mode data. United States: N. p., Web. doi:10.1364/JOSAA.33.000689.
MacGahan, Christopher Jonathan, Kupinski, Matthew Alan, Hilton, Nathan R., Brubaker, Erik M., & Johnson, William C.. Development of an ideal observer that incorporates nuisance parameters and processes list-mode data. United States. doi:10.1364/JOSAA.33.000689.
MacGahan, Christopher Jonathan, Kupinski, Matthew Alan, Hilton, Nathan R., Brubaker, Erik M., and Johnson, William C.. 2016. "Development of an ideal observer that incorporates nuisance parameters and processes list-mode data". United States. doi:10.1364/JOSAA.33.000689. https://www.osti.gov/servlets/purl/1249070.
@article{osti_1249070,
title = {Development of an ideal observer that incorporates nuisance parameters and processes list-mode data},
author = {MacGahan, Christopher Jonathan and Kupinski, Matthew Alan and Hilton, Nathan R. and Brubaker, Erik M. and Johnson, William C.},
abstractNote = {Observer models were developed to process data in list-mode format in order to perform binary discrimination tasks for use in an arms-control-treaty context. Data used in this study was generated using GEANT4 Monte Carlo simulations for photons using custom models of plutonium inspection objects and a radiation imaging system. We evaluated observer model performance and then presented using the area under the receiver operating characteristic curve. Lastly, we studied the ideal observer under both signal-known-exactly conditions and in the presence of unknowns such as object orientation and absolute count-rate variability; when these additional sources of randomness were present, their incorporation into the observer yielded superior performance.},
doi = {10.1364/JOSAA.33.000689},
journal = {Journal of the Optical Society of America. A, Optics, Image Science, and Vision},
number = 4,
volume = 33,
place = {United States},
year = {2016},
month = {2}
}