A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications

David Sarrut(Université Claude Bernard Lyon 1), Manuel Bardiès(Université Toulouse III - Paul Sabatier), Nicolas Boussion(Inserm), N. Freud(Université Claude Bernard Lyon 1), Sébastien Jan(Commissariat à l'Énergie Atomique et aux Énergies Alternatives), Jean Michel Létang(Université Claude Bernard Lyon 1), George Loudos(Technological Educational Institute of Athens), Lydia Maigne(Centre National de la Recherche Scientifique), S Marcatili(Université Toulouse III - Paul Sabatier), Thibault Mauxion(Université Toulouse III - Paul Sabatier), Panagiotis Papadimitroulas(Technological Educational Institute of Athens), Y. Perrot(Centre National de la Recherche Scientifique), U. Pietrzyk(University of Wuppertal), Charlotte Robert(Centre National de la Recherche Scientifique), Dennis R. Schaart(Delft University of Technology), Dimitris Visvikis(Inserm), Irène Buvat(Centre National de la Recherche Scientifique)
Medical Physics
May 12, 2014
Cited by 537Open Access
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Abstract

In this paper, the authors' review the applicability of the open-source GATE Monte Carlo simulation platform based on the GEANT4 toolkit for radiation therapy and dosimetry applications. The many applications of GATE for state-of-the-art radiotherapy simulations are described including external beam radiotherapy, brachytherapy, intraoperative radiotherapy, hadrontherapy, molecular radiotherapy, and in vivo dose monitoring. Investigations that have been performed using GEANT4 only are also mentioned to illustrate the potential of GATE. The very practical feature of GATE making it easy to model both a treatment and an imaging acquisition within the same framework is emphasized. The computational times associated with several applications are provided to illustrate the practical feasibility of the simulations using current computing facilities.


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