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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Yazid Touileb


PhD student

Team Simulation, Analysis and Animation for Augmented Reality
Institution Claude Bernard University of Lyon 1
Location Nautibus (Université Lyon1)
E-mail yazid.touileb at
Contact details Publications Thesis
Subject Patient-specific 4D dose calculations and treatment verification based on adaptive tetrahedral meshes
Abstract The estimation of the distribution pattern of energy and dose in respiratory-induced organ motion constitutes a big challenge in hadron therapy treatment planning and dosimetry, notably for lung cancer in which many difficulties arose, like tissue densities variation and the tumor position shifting during respiration. All these parameters affect the ranges of protons or ions used in treatment when passing through the matter and can easily induce to unexpected dose distribution.
Our work consists of calculating the dose distributions of moving organs by means of Monte Carlo simulations. The dose distributions are calculated using a time-dependent tetrahedral density map describing the internal anatomy and respecting the principle of mass conservation. Unlike methods based on deformable image registration, the deposited energy is accumulated inside each deforming tetrahedron of the meshes, thus overcoming the issues related to dose interpolation.
The objective of this thesis is the construction of an adaptive tetrahedral deformable model that can be used in the field of particle matter simulations and also for treatment verification with positron emission tomography or gamma prompt imaging. Besides, technical challenges have to be addressed to optimize this structure, including the improvement of simulation time and the validation of our approach on a real patient case. Furthermore, the validation of the tetrahedral model has to be performed using an anthropomorphic breathing phantom named LuCa incorporating a lung tumor model and a typical thoracic anatomy.
Advisor Behzad Shariat
Advisor Hamid Ladjal

Last update : 2018-02-14 11:51:13