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

作者：MacGahan Christopher J^*; Kupinski Matthew A; Hilton Nathan R; Brubaker Erik M; Johnson William C

来源：Journal of the Optical Society of America A-Optics Image Science and Vision, 2016, 33(4): 689-697.

DOI：10.1364/JOSAA.33.000689

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.

• 出版日期2016-4-1