Communication Dans Un Congrès Année : 2024

Monte Carlo Modeling of Elekta VERSA HD for Out-of-Field Dose Characterization

Résumé

Modern radiotherapy has significantly improved cancer patient survival rates, yet challenges remain in optimizing both tumor response and quality of life. Out-of-field doses play a role potentially impacting patient overall survival, but are not well-estimated by the conventional treatment planning systems. We propose here the development of a full Monte Carlo simulation model of the Elekta VERSA HD accelerator to assess the out-of-field deposited doses. We introduce an original Compton splitting method aiming to compensate for simulation low convergence in the out-of-field region. Results emphasize that achieving a 5% statistical precision on the far out-of-field deposited dose requires 200 days of simulations on a single thread. The proposed variance reduction technique led to a 1.4 efficiency gain. This model will be used to generate out-of-field dose maps on a large database of patients that will be used to train a deep learning model for quick dose calculation [1].
Fichier principal
Vignette du fichier
iccr2024_versa_oof.pdf (431.39 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04905648 , version 1 (22-01-2025)

Identifiants

  • HAL Id : hal-04905648 , version 1

Citer

Maxime Jacquet, Thomas Baudier, Eric Deutsch, Charlotte Robert, David Sarrut. Monte Carlo Modeling of Elekta VERSA HD for Out-of-Field Dose Characterization. XXth International Conference on the use of Computers in Radiation therapy, David Sarrut; Simon Rit, Jul 2024, lyon, France. ⟨hal-04905648⟩
0 Consultations
0 Téléchargements

Partager

More