Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

None, None; None, None; None, None; None, None; None, None; None, None; None, None; None, None; None, None; None, None

Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

Journal Article (2021)

Author(s)

David Sarrut (Université de Lyon)

Mateusz Bała (Jagiellonian University)

Manuel Bardiès (Université de Montpellier)

Julien Bert (University of Brest/INSERM/LaTIM)

Maxime Chauvin (Université Toulouse III-Paul Sabatier)

Konstantinos Chatzipapas (Bioemission Technology Solutions (BIOEMTECH))

Mathieu Dupont (CPPM)

Ane Etxebeste (Université de Lyon)

Louise M. Fanchon (Memorial Sloan-Kettering Cancer Center)

undefined More Authors

Affiliation

External organisation

Monte Carlo simulation Positron emission tomography Compton Camera Single-photon emission computed tomography

DOI related publication

https://doi.org/10.1088/1361-6560/abf276 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:78946303-fbd4-4d67-b96d-7c774fb19458

More Info

expand_more

Publication Year

2021

Language

English

Affiliation

External organisation

Journal title

Physics in medicine and biology

Issue number

10

Volume number

66

Article number

10TR03

Downloads counter

105

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.