Stochastic image reconstruction for a dual-particle imaging system

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• 作者：M.C. Hamel^a ; ^{mchamel@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; J.K. Polack^a ; ^{kpolack@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; A. Poitrasson-Riviè ; re^a ; ^{alexispr@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; M. Flaska^a ; ^b ; ^{mflaska@psu.edu" class="auth_mail" title="E-mail the corresponding author} ; S.D. Clarke^a ; ^{clarkesd@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; S.A. Pozzi^a ; ^{pozzisa@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; A. Tomanin^c ; ^d ; ^{alice.tomanin@jrc.ec.europa.eu" class="auth_mail" title="E-mail the corresponding author} ; P. Peerani^c ; ^{paolo.peerani@jrc.ec.europa.eu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Radiation Imaging ; Image Reconstruction ; Compton imaging ; Neutron imaging ; Radiation detection
• 刊名：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
• 出版年：2016
• 出版时间：21 February 2016
• 年：2016
• 卷：810
• 期：Complete
• 页码：120-131
• 全文大小：2498 K

文摘

Stochastic image reconstruction has been applied to a dual-particle imaging system being designed for nuclear safeguards applications. The dual-particle imager (DPI) is a combined Compton-scatter and neutron-scatter camera capable of producing separate neutron and photon images. The stochastic origin ensembles (SOE) method was investigated as an imaging method for the DPI because only a minimal estimation of system response is required to produce images with quality that is comparable to common maximum-likelihood methods. This work contains neutron and photon SOE image reconstructions for a ²⁵²Cf point source, two mixed-oxide (MOX) fuel canisters representing point sources, and the MOX fuel canisters representing a distributed source. Simulation of the DPI using MCNPX-PoliMi is validated by comparison of simulated and measured results. Because image quality is dependent on the number of counts and iterations used, the relationship between these quantities is investigated.