ESTRO 2022 - Abstract Book

S1532

Abstract book

ESTRO 2022

PO-1730 Real-time hybrid Monte Carlo for dose calculation in proton therapy

P. Ibáñez 1 , V. Valladolid 2 , A. Villa-Abaunza 2 , A. Espinosa 2 , F. Arias 2 , P. Galve 2 , D. Sánchez-Parcerisa 1 , J.M. Udías 1

1 University Complutense of Madrid and IdISSC, Nuclear Physics Group and IPARCOS, Madrid, Spain; 2 University Complutense of Madrid, Nuclear Physics Group and IPARCOS, Madrid, Spain Purpose or Objective Monte Carlo (MC) treatment planning (MCTP) is increasingly demanded for proton verification, especially when heterogeneous tissues are present. However, long computation time limits MCTP for daily clinical applications. We developed a GPU-based Hybrid Monte Carlo for protons (GHMCp) that incorporates all the physics and particle tracking of realistic MC simulations and runs in a fraction of time of a standard MC code. Materials and Methods GHMCp computes dose distributions, proton fluence, phase spaces and nuclear activations from proton beams within seconds. It incorporates a precalculated database with interactions of protons and their secondary particles in different materials. The database is easily calculated from any MC code, thus predictions from different MC packages can be