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

Journal Article · · Journal of the Optical Society of America. A, Optics, Image Science, and Vision
 [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)
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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.

Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1249070
Alternate ID(s):
OSTI ID: 1242434
Report Number(s):
SAND2016-0849J; 619016
Journal Information:
Journal of the Optical Society of America. A, Optics, Image Science, and Vision, Journal Name: Journal of the Optical Society of America. A, Optics, Image Science, and Vision Journal Issue: 4 Vol. 33; ISSN JOAOD6; ISSN 1084-7529
Country of Publication:
United States
Language:
English

References (11)

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Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniques journal January 2003
Objective assessment of image quality V Photon-counting detectors and list-mode data journal January 2012
Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode data journal January 2012

Cited By (1)

Generating randomness: making the most out of disordering a false order into a real one journal February 2019

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61 RADIATION PROTECTION AND DOSIMETRY