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Technical note: GAMMORA, a free, open-source, and validated GATE-based model for Monte-Carlo simulations of the Varian TrueBeam
Article de revue scientifique   Open Access   Avec comité de lecture

Technical note: GAMMORA, a free, open-source, and validated GATE-based model for Monte-Carlo simulations of the Varian TrueBeam

Jeremy Leste, Tony Younes, Maxime Chauvin, Xavier Franceries, Alexia Delbaere, Laure Vieillevigne, Regis Ferrand, Manuel Bardies et Luc Simon
Physica Medica European Journal of Medical Physics, Vol.89, p.211-218
09/2021
PMID: 34416389

Résumé

TrueBeam Radiotherapy Output correction factor Monte-Carlo Interplay effect Geant4 GATE Computer Simulation Monte Carlo Method Phantoms, Imaging Photons* Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted* Water
Purpose: Monte Carlo (MC) is the reference computation method for medical physics. In radiotherapy, MC computations are necessary for some issues (such as assessing figures of merit, double checks, and dose conversions). A tool based on GATE is proposed to easily create full MC simulations of the Varian TrueBeam STx.Methods: GAMMORA is a package that contains photon phase spaces as a pre-trained generative adversarial network (GAN) and the TrueBeam's full geometry. It allows users to easily create MC simulations for simple or complex radiotherapy plans such as VMAT. To validate the model, the characteristics of generated photons are first compared to those provided by Varian (IAEA format). Simulated data are also compared to measurements in water and heterogeneous media. Simulations of 8 SBRT plans are compared to measurements (in a phantom). Two examples of applications (a second check and interplay effect assessment) are presented.Results: The simulated photons generated by the GAN have the same characteristics (energy, position, and direction) as the IAEA data. Computed dose distributions of simple cases (in water) and complex plans delivered in a phantom are compared to measurements, and the Gamma index (3%/3mm) was always superior to 98%. The feasibility of both clinical applications is shown.Conclusions: This model is now shared as a free and open-source tool that generates radiotherapy MC simulations. It has been validated and used for five years. Several applications can be envisaged for research and clinical purposes.

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