Fast optimized Monte Carlo phase-space generation and dose prediction for low energy X-ray intra-operative radiation therapy.

Fast optimized Monte Carlo phase-space generation and dose prediction for low energy X-ray intra-operative radiation therapy. Phys Med Biol. 2019 Feb 01;: Authors: Vidal M, Ibáñez P, Guerra P, Valdivieso-Casique MF, Rodriguez R, Illana C, Udías JM Abstract Low energy X-ray Intra-Operative Radiation Therapy (IORT) is used mostly for breast cancer treatment with spherical applicators. X-ray IORT treatment delivered during surgery (ex: INTRABEAM®, Carl Zeiss) can benefit from accurate and fast dose prediction in a patient 3D volume. However, full Monte Carlo (MC) simulations are time-consuming and no commercial treatment planning system was available for this treatment delivery technique. Therefore, the aim of this work is to develop a dose computation tool based on MC phase space information, which computes fast and accurate dose distributions for spherical and needle INTRABEAM® applicators. First, a database of monoenergetic phase-space (PHSP) files and depth dose profiles (DDPs) in water for each applicator is generated at factory and stored for on-site use. During commissioning of a given INTRABEAM® unit, the proposed Fast and Optimized Phase-Space (FOPS) generation process creates a phase-space at the exit of the applicator considered, by fitting the energy spectrum of the source to a combination of the monoenergetic precomputed phase-spaces, by means of a genetic algorithm, with simple experimental data of depth dose profile...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research