Recent advances in radiotherapy treatment techniques, such as dynamic conformal arc therapy, require greater precision at every stage of the treatment plan and, especially, for the dose calculations carried out prior to treatment. Current treatment planning systems (TPS) provide satisfactory results. However, Monte Carlo methods can be used to achieve greater precision and in certain situations where TPS calculations are not precise enough. These methods accurately reproduce the physics of interactions of radiation with matter.
Today, Monte Carlo simulations are a powerful alternative for modeling dose response, calculating the corrections that must be made to dosimetric tools, and determining physical quantities that cannot be measured easily. The use of Monte Carlo methods for complex geometries and high-resolution images is not yet feasible in clinical settings due to prohibitively long calculation times.
Doseo R&D scientists are working on methods for modeling complex physical systems for radiotherapy and medical imaging. We bring strong skills in Monte Carlo simulation code development and implementation as well as in the dosimetry techniques required for laboratory validation of the numerical models developed.
Our main lab activity is the development and optimization of Penelope, a Monte Carlo code. Various R&D projects have created opportunities to introduce new acceleration strategies into the code for fast, accurate calculation and other innovations.
We now have a simulation platform dedicated to radiotherapy treatment modeling.
Simulation has a broad range of radiotherapy applications:
Simulation has a broad range of radiology applications:
CEA SACLAY DOSEO
Point courrier 181
91191 GIF SUR YVETTE CEDEX
of experience simulating the interaction of ionizing radiation for healthcare.
We develop image-processing algorithms for multimodal imaging.