Advanced Monte Carlo simulations of emission tomography imaging systems with GATE Review

  


Authors: Sarrut, D.; Bała, M.; Bardiès, M.; Bert, J.; Chauvin, M.; Chatzipapas, K.; Dupont, M.; Etxebeste, A.; Fanchon, L. M.; Jan, S.; Kayal, G.; Kirov, A. S.; Kowalski, P.; Krzemien, W.; Labour, J.; Lenz, M.; Loudos, G.; Mehadji, B.; Ménard, L.; Morel, C.; Papadimitroulas, P.; Rafecas, M.; Salvadori, J.; Seiter, D.; Stockhoff, M.; Testa, E.; Trigila, C.; Pietrzyk, U.; Vandenberghe, S.; Verdier, M. A.; Visvikis, D.; Ziemons, K.; Zvolský, M.; Roncali, E.
Review Title: Advanced Monte Carlo simulations of emission tomography imaging systems with GATE
Abstract: Built on top of the Geant4 toolkit, GATE is collaboratively developed for more than 15 years to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular, used by researchers and industrials to design, optimize, understand and create innovative emission tomography systems. In this paper, we reviewed the recent developments that have been proposed to simulate modern detectors and provide a comprehensive report on imaging systems that have been simulated and evaluated in GATE. Additionally, some methodological developments that are not specific for imaging but that can improve detector modeling and provide computation time gains, such as Variance Reduction Techniques and Artificial Intelligence integration, are described and discussed. © 2021 Institute of Physics and Engineering in Medicine.
Keywords: positron emission tomography; tomography; artificial intelligence; computation time; imaging systems; emission tomography; monte carlo methods; monte carlo simulation; single-photon emission computed tomography; compton camera; detector modeling; geant4 toolkits; intelligence integration; variance reduction techniques
Journal Title: Physics in Medicine and Biology
Volume: 66
Issue: 10
ISSN: 0031-9155
Publisher: IOP Publishing Ltd  
Date Published: 2021-05-01
Start Page: 10TR03
Language: English
DOI: 10.1088/1361-6560/abf276
PROVIDER: scopus
PUBMED: 33770774
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107032832&doi=10.1088%2f1361-6560%2fabf276&partnerID=40&md5=04e2040e736e33b9c6c2ad3153321148
Notes: Article -- Export Date: 1 July 2021 -- Source: Scopus
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  1. Assen Kirov
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  2. Louise Marianne Fanchon
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