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 language | English (US) |
|---|---|
| Pages (from-to) | 689-697 |
| Number of pages | 9 |
| Journal | Journal of the Optical Society of America A: Optics and Image Science, and Vision |
| Volume | 33 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 1 2016 |
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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 journal › Article
}
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 -