Attenuation and Scattering Correction in Passive Gamma Emission Tomography Reconstruction

Ming Fang, Yoann Altmann, Daniele Della Latta, Massimiliano Salvatori, Angela Di Fulvio

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

Abstract

The International Atomic Energy Agency has developed a novel non-destruction assay technique, Passive Gamma Emission Tomography, to inspect spent nuclear fuel assemblies. Accurate physical modeling of the tomography system is required for quantitative tomography reconstruction of the fuel assembly. We have implemented an accelerated Monte Carlo algorithm to compute the imaging system response matrix, applying the attenuation and scattering correction. We performed iterative reconstruction of four simulated fuel assemblies by solving the corresponding imaging inverse problem. The images yielded by the inverse approach were then processed by a convolutional neural network for pin identification. Perfect identification of fuel pins was achieved for medium and high activity level pins. The accuracy of fuel pin activity estimation was significantly improved, compared to the standard filtered back projection (FBP) approach.

Original languageEnglish
Title of host publication2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
PublisherIEEE
ISBN (Electronic)9781728176932
DOIs
Publication statusPublished - 12 Aug 2021
Event2020 IEEE Nuclear Science Symposium and Medical Imaging Conference - Boston, United States
Duration: 31 Oct 20207 Nov 2020

Conference

Conference2020 IEEE Nuclear Science Symposium and Medical Imaging Conference
Abbreviated titleNSS/MIC 2020
Country/TerritoryUnited States
CityBoston
Period31/10/207/11/20

ASJC Scopus subject areas

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

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