Development of a list-mode ideal observer to perform classification tasks when imaging nuclear inspection objects under signal-known-exactly conditions

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We developed a signal-known-exactly version of the ideal observer that processes data in list-mode format to perform binary classification, a useful task for arms-control treaty applications. This observer offers the best possible performance and future observer models developed in our work will be compared to this model. The two examined sources were plutonium inspection objects developed by Idaho National Lab. We modeled a fast-neutron coded-aperture imager, developed by Oak Ridge National Lab and Sandia National Labs to acquire simulation data. Monte Carlo simulations using the GEANT4 toolkit tracked photons and neutrons from these objects to the imager. The observer model was evaluated using the area under the ROC curve for multiple background strengths.

Original languageEnglish (US)
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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    Macgahan, C. J., Kupinski, M. A., Hilton, N. R., Johnson, W. C., & Brubaker, E. M. (2016). Development of a list-mode ideal observer to perform classification tasks when imaging nuclear inspection objects under signal-known-exactly conditions. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7431051] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7431051