TY - JOUR
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 -