The Monte Carlo simulation software is a valuable tool in radiation therapy, in particular to achieve the needed accuracy in the dose evaluation for the treatment plans optimisation. The current challenge in this field is the time reduction to open the way to many clinical applications for which the computational time is an issue. In this manuscript we present an innovative GPU-accelerated Monte Carlo software for dose valuation in electron and photon based radiotherapy, developed as an update of the FRED (Fast paRticle thErapy Dose evaluator) software.
GPU-accelerated Monte Carlo simulation of electron and photon interactions for radiotherapy applications / Franciosini, Gaia; Battistoni, Giuseppe; Cerqua, Arianna; De Gregorio, Angelica; De Maria, Patrizia; De Simoni, Micol; Dong, Yunsheng; Fischetti, Marta; Marafini, Michela; Mirabelli, Riccardo; Muscato, Annalisa; Patera, Vincenzo; Salvati, Federica; Sarti, Alessio; Sciubba, Adalberto; Toppi, Marco; Traini, Giacomo; Trigilio, Antonio; Schiavi, Angelo. - In: PHYSICS IN MEDICINE AND BIOLOGY. - ISSN 0031-9155. - (2022). [10.1088/1361-6560/aca1f2]
GPU-accelerated Monte Carlo simulation of electron and photon interactions for radiotherapy applications
Franciosini, Gaia;Cerqua, Arianna;De Gregorio, Angelica;De Maria, Patrizia;De Simoni, Micol;Fischetti, Marta;Mirabelli, Riccardo;Muscato, Annalisa;Patera, Vincenzo;Sarti, Alessio;Sciubba, Adalberto;Toppi, Marco;Trigilio, Antonio;Schiavi, Angelo
2022
Abstract
The Monte Carlo simulation software is a valuable tool in radiation therapy, in particular to achieve the needed accuracy in the dose evaluation for the treatment plans optimisation. The current challenge in this field is the time reduction to open the way to many clinical applications for which the computational time is an issue. In this manuscript we present an innovative GPU-accelerated Monte Carlo software for dose valuation in electron and photon based radiotherapy, developed as an update of the FRED (Fast paRticle thErapy Dose evaluator) software.| File | Dimensione | Formato | |
|---|---|---|---|
|
Sarti_Monte-Carlo-simulation_2022.pdf
solo gestori archivio
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
3.92 MB
Formato
Adobe PDF
|
3.92 MB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
