Attenuation and Scattering Correction in Passive Gamma Emission Tomography Reconstruction

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

doi:10.1109/NSS/MIC42677.2020.9508090

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 proceeding › Conference 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 language	English
Title of host publication	2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Publisher	IEEE
ISBN (Electronic)	9781728176932
DOIs	https://doi.org/10.1109/NSS/MIC42677.2020.9508090
Publication status	Published - 12 Aug 2021
Event	2020 IEEE Nuclear Science Symposium and Medical Imaging Conference - Boston, United States Duration: 31 Oct 2020 → 7 Nov 2020

Conference

Conference	2020 IEEE Nuclear Science Symposium and Medical Imaging Conference
Abbreviated title	NSS/MIC 2020
Country/Territory	United States
City	Boston
Period	31/10/20 → 7/11/20

ASJC Scopus subject areas

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

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10.1109/NSS/MIC42677.2020.9508090

Cite this

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title = "Attenuation and Scattering Correction in Passive Gamma Emission Tomography Reconstruction",

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.",

author = "Ming Fang and Yoann Altmann and {Della Latta}, Daniele and Massimiliano Salvatori and {Di Fulvio}, Angela",

note = "Funding Information: Manuscript received December 18, 2020. This work was funded in part by the Nuclear Regulatory Commission Faculty Development Grant number 31310019M0011 and the Consortium for Verification Technology under Department of Energy National Nuclear Security Administration award number DE-NA0002534. This work was also supported by the Royal Academy of Engineering under the Research Fellowship scheme RF201617/16/31. Publisher Copyright: {\textcopyright} 2020 IEEE; 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 ; Conference date: 31-10-2020 Through 07-11-2020",

year = "2021",

month = aug,

day = "12",

doi = "10.1109/NSS/MIC42677.2020.9508090",

language = "English",

booktitle = "2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)",

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Fang, M, Altmann, Y, Della Latta, D, Salvatori, M & Di Fulvio, A 2021, Attenuation and Scattering Correction in Passive Gamma Emission Tomography Reconstruction. in 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)., 9508090, IEEE, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, Massachusetts, United States, 31/10/20. https://doi.org/10.1109/NSS/MIC42677.2020.9508090

Attenuation and Scattering Correction in Passive Gamma Emission Tomography Reconstruction. / Fang, Ming; Altmann, Yoann; Della Latta, Daniele; Salvatori, Massimiliano; Di Fulvio, Angela.

2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2021. 9508090.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Della Latta, Daniele

AU - Salvatori, Massimiliano

AU - Di Fulvio, Angela

N1 - Funding Information: Manuscript received December 18, 2020. This work was funded in part by the Nuclear Regulatory Commission Faculty Development Grant number 31310019M0011 and the Consortium for Verification Technology under Department of Energy National Nuclear Security Administration award number DE-NA0002534. This work was also supported by the Royal Academy of Engineering under the Research Fellowship scheme RF201617/16/31. Publisher Copyright: © 2020 IEEE

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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Attenuation and Scattering Correction in Passive Gamma Emission Tomography Reconstruction

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