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

Christopher J. MacGahan, Matthew A Kupinski, Nathan R. Hilton, Erik M. Brubaker, William C. Johnson

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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. Observer model performance was evaluated and presented using the area under the receiver operating characteristic curve. The ideal observer was studied 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.

Original languageEnglish (US)
Pages (from-to)689-697
Number of pages9
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume33
Issue number4
DOIs
StatePublished - Apr 1 2016

Fingerprint

Plutonium
International Cooperation
Photons
ROC Curve
lists
Radiation
International cooperation
plutonium
Imaging systems
format
discrimination
inspection
receivers
Inspection
photons
curves
radiation
simulation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Computer Vision and Pattern Recognition

Cite this

Development of an ideal Observer that incorporates nuisance parameters and processes list-mode data. / MacGahan, Christopher J.; Kupinski, Matthew A; Hilton, Nathan R.; Brubaker, Erik M.; Johnson, William C.

In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 33, No. 4, 01.04.2016, p. 689-697.

Research output: Contribution to journalArticle

@article{2a2f09de11ca4cd9b1c8e7fbd6ffb387,
title = "Development of an ideal Observer that incorporates nuisance parameters and processes list-mode data",
abstract = "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. Observer model performance was evaluated and presented using the area under the receiver operating characteristic curve. The ideal observer was studied 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.",
author = "MacGahan, {Christopher J.} and Kupinski, {Matthew A} and Hilton, {Nathan R.} and Brubaker, {Erik M.} and Johnson, {William C.}",
year = "2016",
month = "4",
day = "1",
doi = "10.1364/JOSAA.33.000689",
language = "English (US)",
volume = "33",
pages = "689--697",
journal = "Journal of the Optical Society of America A: Optics and Image Science, and Vision",
issn = "1084-7529",
publisher = "The Optical Society",
number = "4",

}

TY - JOUR

T1 - Development of an ideal Observer that incorporates nuisance parameters and processes list-mode data

AU - MacGahan, Christopher J.

AU - Kupinski, Matthew A

AU - Hilton, Nathan R.

AU - Brubaker, Erik M.

AU - Johnson, William C.

PY - 2016/4/1

Y1 - 2016/4/1

N2 - 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. Observer model performance was evaluated and presented using the area under the receiver operating characteristic curve. The ideal observer was studied 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.

AB - 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. Observer model performance was evaluated and presented using the area under the receiver operating characteristic curve. The ideal observer was studied 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.

UR - http://www.scopus.com/inward/record.url?scp=84962360207&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962360207&partnerID=8YFLogxK

U2 - 10.1364/JOSAA.33.000689

DO - 10.1364/JOSAA.33.000689

M3 - Article

AN - SCOPUS:84962360207

VL - 33

SP - 689

EP - 697

JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision

JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision

SN - 1084-7529

IS - 4

ER -