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Dosimétrie en radiothérapie et curiethérapie par simulation Monte-Carlo GATE sur grille informatique

Abstract : Accurate radiotherapy treatment requires the delivery of a precise dose to the tumour volume and a good knowledge of the dose deposit to the neighbouring zones. Computation of the treatments is usually carried out by a Treatment Planning System (TPS) which needs to be precise and fast. The GATE platform for Monte-Carlo simulation based on GEANT4 is an emerging tool for nuclear medicine application that provides functionalities for fast and reliable dosimetric calculations. In this thesis, we studied in parallel a validation of the GATE platform for the modelling of electrons and photons low energy sources and the optimized use of grid infrastructures to reduce simulations computing time. GATE was validated for the dose calculation of point kernels for mono-energetic electrons and compared with the results of other Monte-Carlo studies. A detailed study was made on the energy deposit during electrons transport in GEANT4. In order to validate GATE for very low energy photons ( < 35 keV), three models of radioactive sources used in Brachytherapy and containing iodine 125 (2301 of Best Medical International; Symmetra of UroMed/Bebig and 6711 of Amersham) were simulated. Our results were analyzed according to the recommendations of task group N°43 of American Association of Physicists in Medicine (AAPM). They show a good agreement between GATE, the reference studies and AAPM recommended values. The use of Monte-Carlo simulations for a better definition of the dose deposited in the tumour volumes requires long computing time. In order to reduce it, we exploited EGEE grid infrastructure where simulations are distributed using innovative technologies taking into account the grid status. Time necessary for the computing of a radiotherapy planning simulation using electrons was reduced by a factor 30. A Web platform based on GENIUS portal was developed to make easily available all the methods to submit and manage GATE jobs on the grid as well as to handle the medical data (patient information, images CT, IRM...). The final aim is to make GATE a tool reliable for clinical treatment planning for radiotherapy with a computing of less than 12 hours.
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Submitted on : Wednesday, December 12, 2007 - 4:39:00 PM
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  • HAL Id : tel-00196405, version 1

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C.O. Thiam. Dosimétrie en radiothérapie et curiethérapie par simulation Monte-Carlo GATE sur grille informatique. Physique des Hautes Energies - Expérience [hep-ex]. Université Blaise Pascal - Clermont-Ferrand II, 2007. Français. ⟨tel-00196405⟩

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