Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

David Sarrut; Mateusz Bała; Manuel Bardiès; Julien Bert; Maxime Chauvin; Konstantinos Chatzipapas; Mathieu Dupont; Ane Etxebeste; Louise M Fanchon; Sébastien Jan; Gunjan Kayal; Assen S Kirov; Paweł Kowalski; Wojciech Krzemien; Joey Labour; Mirjam Lenz; George Loudos; Brahim Mehadji; Laurent Ménard; Christian Morel; Panagiotis Papadimitroulas; Magdalena Rafecas; Julien Salvadori; Daniel Seiter; Mariele Stockhoff; Etienne Testa; Carlotta Trigila; Uwe Pietrzyk; Stefaan Vandenberghe; Marc-Antoine Verdier; Dimitris Visvikis; Karl Ziemons; Milan Zvolský; Emilie Roncali

doi:10.1088/1361-6560/abf276

Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

David Sarrut, Mateusz Bała, Manuel Bardiès, Julien Bert, Maxime Chauvin, Konstantinos Chatzipapas, Mathieu Dupont, Ane Etxebeste, Louise M Fanchon, Sébastien Jan, Gunjan Kayal, Assen S Kirov, Paweł Kowalski, Wojciech Krzemien, Joey Labour, Mirjam Lenz, George Loudos, Brahim Mehadji, Laurent Ménard, Christian MorelPanagiotis Papadimitroulas, Magdalena Rafecas, Julien Salvadori, Daniel Seiter, Mariele Stockhoff, Etienne Testa, Carlotta Trigila, Uwe Pietrzyk, Stefaan Vandenberghe, Marc-Antoine Verdier, Dimitris Visvikis, Karl Ziemons, Milan Zvolský, Emilie Roncali

Institute of Medical Engineering

178 Citations (Scopus)

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.

Original language	English
Journal	Physics in Medicine and Biology
Volume	66
Issue number	10
ISSN	0031-9155
DOIs	https://doi.org/10.1088/1361-6560/abf276
Publication status	Published - 14.05.2021

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SDG 9 Industry, Innovation, and Infrastructure

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Sarrut, D., Bała, M., Bardiès, M., Bert, J., Chauvin, M., Chatzipapas, K., Dupont, M., Etxebeste, A., M Fanchon, L., Jan, S., Kayal, G., S Kirov, A., Kowalski, P., Krzemien, W., Labour, J., Lenz, M., Loudos, G., Mehadji, B., Ménard, L., ... Roncali, E. (2021). Advanced Monte Carlo simulations of emission tomography imaging systems with GATE. Physics in Medicine and Biology, 66(10). https://doi.org/10.1088/1361-6560/abf276

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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.",

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Sarrut, D, Bała, M, Bardiès, M, Bert, J, Chauvin, M, Chatzipapas, K, Dupont, M, Etxebeste, A, M Fanchon, L, Jan, S, Kayal, G, S Kirov, A, 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 2021, 'Advanced Monte Carlo simulations of emission tomography imaging systems with GATE', Physics in Medicine and Biology, vol. 66, no. 10. https://doi.org/10.1088/1361-6560/abf276

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T1 - Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

AU - Sarrut, David

AU - Bała, Mateusz

AU - Bardiès, Manuel

AU - Bert, Julien

AU - Chauvin, Maxime

AU - Chatzipapas, Konstantinos

AU - Dupont, Mathieu

AU - Etxebeste, Ane

AU - M Fanchon, Louise

AU - Jan, Sébastien

AU - Kayal, Gunjan

AU - S Kirov, Assen

AU - Kowalski, Paweł

AU - Krzemien, Wojciech

AU - Labour, Joey

AU - Lenz, Mirjam

AU - Loudos, George

AU - Mehadji, Brahim

AU - Ménard, Laurent

AU - Morel, Christian

AU - Papadimitroulas, Panagiotis

AU - Rafecas, Magdalena

AU - Salvadori, Julien

AU - Seiter, Daniel

AU - Stockhoff, Mariele

AU - Testa, Etienne

AU - Trigila, Carlotta

AU - Pietrzyk, Uwe

AU - Vandenberghe, Stefaan

AU - Verdier, Marc-Antoine

AU - Visvikis, Dimitris

AU - Ziemons, Karl

AU - Zvolský, Milan

AU - Roncali, Emilie

N1 - Creative Commons Attribution license.

PY - 2021/5/14

Y1 - 2021/5/14

N2 - 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.

AB - 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.

U2 - 10.1088/1361-6560/abf276

DO - 10.1088/1361-6560/abf276

M3 - Scientific review articles

C2 - 33770774

SN - 0031-9155

VL - 66

JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

IS - 10

ER -

Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

Abstract

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