Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

David Sarrut; Mateusz Bala; Manuel Bardiès; Julien Bert; Maxime Chauvin; Konstantinos Chatzipapas; Mathieu Dupont; Ane Etxebeste; Louise M. Fachon; Sébastien Jan; Gunjan Kayal

doi:10.1088/1361-6560/abf276

Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

David Sarrut, Mateusz Bala, Manuel Bardiès, Julien Bert, Maxime Chauvin, Konstantinos Chatzipapas, Mathieu Dupont, Ane Etxebeste, Louise M. Fachon, Sébastien Jan, Gunjan Kayal

Research output › peer-review

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
Article number	10TR03
Pages (from-to)	1-23
Number of pages	23
Journal	Physics in Medicine and Biology
Volume	66
DOIs	https://doi.org/10.1088/1361-6560/abf276
State	Published - 14 May 2021

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Cite this

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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.",

keywords = "Monte Carlo simulation, Positron emission tomography, Single-photon emission computed tomography, Compton Camera",

author = "David Sarrut and Mateusz Bala and Manuel Bardi{\`e}s and Julien Bert and Maxime Chauvin and Konstantinos Chatzipapas and Mathieu Dupont and Ane Etxebeste and Fachon, {Louise M.} and S{\'e}bastien Jan and Gunjan Kayal",

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

AU - Sarrut, David

AU - Bala, Mateusz

AU - Bardiès, Manuel

AU - Bert, Julien

AU - Chauvin, Maxime

AU - Chatzipapas, Konstantinos

AU - Dupont, Mathieu

AU - Etxebeste, Ane

AU - Fachon, Louise M.

AU - Jan, Sébastien

AU - Kayal, Gunjan

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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.

KW - Monte Carlo simulation

KW - Positron emission tomography

KW - Single-photon emission computed tomography

KW - Compton Camera

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DO - 10.1088/1361-6560/abf276

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