Distributions of secondary particles in proton and carbon-ion therapy: a comparison between GATE/Geant4 and FLUKA Monte Carlo codes

Details

Serval ID
serval:BIB_10103CC11AED
Type
Article: article from journal or magazin.
Collection
Publications
Title
Distributions of secondary particles in proton and carbon-ion therapy: a comparison between GATE/Geant4 and FLUKA Monte Carlo codes
Journal
Phys. Med. Biol.
Author(s)
Robert C, Dedes G, Battistoni G, Böhlen T T, Buvat I, Cerutti F, Chin M P W, Ferrari A, Gueth P, Kurz C, Lestand L, Mairani A, Montarou G, Nicolini R, Ortega P G, Parodi K, Prezado Y, Sala P R, Sarrut D, Testa E
ISSN
0031-9155
Publication state
Published
Issued date
2013
Peer-reviewed
Oui
Volume
58
Number
9
Pages
2879-2899
Language
english
Abstract
Monte Carlo simulations play a crucial role for in-vivo treatment monitoring based on PET and prompt gamma imaging in proton and carbon-ion therapies. The accuracy of the nuclear fragmentation models implemented in these codes might affect the quality of the treatment verification. In this paper, we investigate the nuclear models implemented in GATE/Geant4 and FLUKA by comparing the angular and energy distributions of secondary particles exiting a homogeneous target of PMMA. Comparison results were restricted to fragmentation of (16)O and (12)C. Despite the very simple target and set-up, substantial discrepancies were observed between the two codes. For instance, the number of high energy ( \textgreater 1 MeV) prompt gammas exiting the target was about twice as large with GATE/Geant4 than with FLUKA both for proton and carbon ion beams. Such differences were not observed for the predicted annihilation photon production yields, for which ratios of 1.09 and 1.20 were obtained between GATE and FLUKA for the proton beam and the carbon ion beam, respectively. For neutrons and protons, discrepancies from 14% (exiting protons-carbon ion beam) to 57% (exiting neutrons-proton beam) have been identified in production yields as well as in the energy spectra for neutrons.
Keywords
Radiotherapy Dosage, Radiotherapy Planning, Neutrons, Protons, Monte Carlo Method, Computer-Assisted, Computer-Assisted: methods, Heavy Ion Radiotherapy, Heavy Ion Radiotherapy: methods, Protons: therapeutic use, Time Factors
Pubmed
Create date
15/03/2023 9:08
Last modification date
17/03/2023 6:52
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