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Monte Carlo simulation of digital photon counting PET

A GATE Monte Carlo model of the Philips Vereos digital photon counting PET imaging system using silicon photo-multiplier detectors was proposed. It was evaluated against experimental data in accordance with NEMA guidelines. Comparisons were performed using listmode data in order to remain independen...

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Autores principales: Salvadori, Julien, Labour, Joey, Odille, Freddy, Marie, Pierre-Yves, Badel, Jean-Noël, Imbert, Laëtitia, Sarrut, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183520/
https://www.ncbi.nlm.nih.gov/pubmed/32335787
http://dx.doi.org/10.1186/s40658-020-00288-w
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author Salvadori, Julien
Labour, Joey
Odille, Freddy
Marie, Pierre-Yves
Badel, Jean-Noël
Imbert, Laëtitia
Sarrut, David
author_facet Salvadori, Julien
Labour, Joey
Odille, Freddy
Marie, Pierre-Yves
Badel, Jean-Noël
Imbert, Laëtitia
Sarrut, David
author_sort Salvadori, Julien
collection PubMed
description A GATE Monte Carlo model of the Philips Vereos digital photon counting PET imaging system using silicon photo-multiplier detectors was proposed. It was evaluated against experimental data in accordance with NEMA guidelines. Comparisons were performed using listmode data in order to remain independent of image reconstruction algorithms. An original line of response-based method is proposed to estimate intrinsic spatial resolution without reconstruction. Four sets of experiments were performed: (1) count rates and scatter fraction, (2) energy and timing resolutions, (3) sensitivity, and (4) intrinsic spatial resolution. Experimental and simulated data were found to be in good agreement, with overall differences lower than 10% for activity concentrations used in most standard clinical applications. Illustrative image reconstructions were provided. In conclusion, the proposed Monte Carlo model was validated and can be used for numerous studies such as optimizing acquisition parameters or reconstruction algorithms.
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spelling pubmed-71835202020-04-29 Monte Carlo simulation of digital photon counting PET Salvadori, Julien Labour, Joey Odille, Freddy Marie, Pierre-Yves Badel, Jean-Noël Imbert, Laëtitia Sarrut, David EJNMMI Phys Original Research A GATE Monte Carlo model of the Philips Vereos digital photon counting PET imaging system using silicon photo-multiplier detectors was proposed. It was evaluated against experimental data in accordance with NEMA guidelines. Comparisons were performed using listmode data in order to remain independent of image reconstruction algorithms. An original line of response-based method is proposed to estimate intrinsic spatial resolution without reconstruction. Four sets of experiments were performed: (1) count rates and scatter fraction, (2) energy and timing resolutions, (3) sensitivity, and (4) intrinsic spatial resolution. Experimental and simulated data were found to be in good agreement, with overall differences lower than 10% for activity concentrations used in most standard clinical applications. Illustrative image reconstructions were provided. In conclusion, the proposed Monte Carlo model was validated and can be used for numerous studies such as optimizing acquisition parameters or reconstruction algorithms. Springer International Publishing 2020-04-25 /pmc/articles/PMC7183520/ /pubmed/32335787 http://dx.doi.org/10.1186/s40658-020-00288-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
Salvadori, Julien
Labour, Joey
Odille, Freddy
Marie, Pierre-Yves
Badel, Jean-Noël
Imbert, Laëtitia
Sarrut, David
Monte Carlo simulation of digital photon counting PET
title Monte Carlo simulation of digital photon counting PET
title_full Monte Carlo simulation of digital photon counting PET
title_fullStr Monte Carlo simulation of digital photon counting PET
title_full_unstemmed Monte Carlo simulation of digital photon counting PET
title_short Monte Carlo simulation of digital photon counting PET
title_sort monte carlo simulation of digital photon counting pet
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183520/
https://www.ncbi.nlm.nih.gov/pubmed/32335787
http://dx.doi.org/10.1186/s40658-020-00288-w
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