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 Scopus citations

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

ASJC Scopus subject areas

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

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