9–12 May 2006
Palais du Pharo, Marseille
Europe/Zurich timezone

Monte Carlo simulation of the deposited dose in a patient during a therapy with carbon ions

9 May 2006, 14:00
1h
Palais du Pharo, Marseille

Palais du Pharo, Marseille

poster • System simulation, design and implementation Poster Session :Simulation, Modeling, Reconstruction

Speaker

Ms Nathalie DUFOUR (PhD Student - Centre Léon Bérard)

Description

Heavy charged particles like protons or light atom nuclei like carbon ions have interesting ballistic properties in cancer therapy. When used as projectiles, their electromagnetic interaction with matter is characterized with an energy loss spectrum peaking at a localized penetration depth: the so called Bragg peak. However, projectile particles used in hadrontherapy have sufficient kinetic energies to undergo nuclear reactions with target nuclei. As a consequence, depending on the nuclear process involved, multiple nuclear fragments can be produced. Even though the cross section of these processes would hardly exceed 40% of the total interaction cross section, they would contribute to a significant spread of the deposited dose over the target volume of interest. Despite this unwanted effect in hadrontherapy, among the produced radioactive isotopes a small fraction of those would β+ emitters and offers the only way for an online dose deposition control and even more the only way for the exploitation of inline and in- situ PET (Positron Emission Tomography) techniques for real time imaging. Here, we present our preliminary results concerning Monte Carlo GEANT 4 simulation to study the physical dose induced by fragments in a patient during an irradiation with carbon ions. The first step of this work concerns the improvement of the experimental database of the fragmentation’s cross sections in the range of energies used in therapy and their integration in GEANT4. After, we will present the proper implementation within Monte Carlo simulation framework of the patient data usually represented with a regular grid of heterogeneous voxels, obtained from a CT image. The use of this type of geometry in Monte Carlo requires the optimisation of the particle tracking to reduce the simulation time.

Author

Ms Nathalie DUFOUR (PhD Student - Centre Léon Bérard)

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