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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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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. |
format | Online Article Text |
id | pubmed-7183520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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