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.
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: MacGahan
authors.forename: Matthew A
authors.initials: MA
authors.lastname: Kupinski
authors.forename: Nathan R
authors.initials: NR
authors.lastname: Hilton
authors.forename: Erik M
authors.initials: EM
authors.lastname: Brubaker
authors.forename: William C
authors.initials: WC
authors.lastname: Johnson