Simulation software

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.

Monte Carlo simulation tools

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.

Radio interventionnelle du coeur d'une femme

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.

We have developed

  • Monte Carlo codes for innovative cancer treatments like protontherapy, dynamic conformal arc therapy, and stereotactic body radiotherapy
  • New software for radiotherapy quality control and safety, such as TPS quality control and EPID portal-based in vivo dosimetry
  • New software to estimate the dose absorbed during X-ray imaging for use in interventional radiology, conventional radiology, tomodensitometry, and cone-beam imaging and optimize the dose with respect to image quality.

Examples of radiotherapy applications

Simulation has a broad range of radiotherapy applications:

  • Dose calculations for innovative cancer treatments like intensity-modulated radiation therapy (IMRT) and protontherapy
  • Treatment quality control and safety, with TPS quality control, and patient dosimetry control using portal imaging
  • Estimation of out-of-field absorbed doses
  • Estimation and optimization of absorbed doses delivered using patient positioning imaging systems
  • Computer-aided design of new equipment
  • Understanding physical phenomena related to the destruction of tumor cells in the presence of nanoparticles under an X-ray beam

Examples of radiology applications

Simulation has a broad range of radiology applications:

  • Development of a simulator to calculate doses to organs delivered to the patient and to the practitioner in interventional radiology
  • Development of software to achieve better dose to image quality ratios for CT scans


Bâtiment 135
Point courrier 181


10 years

of experience simulating the interaction of ionizing radiation for healthcare.


We develop image-processing algorithms for multimodal imaging.