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Approach to Simulate Tumour Displacements in Lungs with Mass Spring System.

Abstract : Our team gathers medical, physical and computer science researchers to develop a personalised simulation oflungs in order to predict tumour displacements and deformations during cancer treatment with ionising. In this context, a mass spring system model, which is monitored by breathed volume is presented.The shape of the simulated lungs is based on segmented computer tomography (CT) scans performed whilethe patient's respiration is blocked by an active breath control (ABC) system. After data acquisition and segmentation, the volume is meshed with tetrahedrons. The elasticity is obtained from a global measurement of the lung resistivity to volume expansion, the compliance. A realistic behaviour should be expected adding constraints de ned by a priori knowledges on the lung environment.The simulation consists in applying forces due to the organ activity or interaction with its environment and then to solve the dynamic equations on each node of the mesh. The forces can be calculated from the compliance and the volume variation of the organ. As a control parameter, the volume variation monitor the model. In parallel, studies are proceeded by medicines to prove that volume is a parameter for geometry reproducibility. Our results show a meshed lung inflated and deflated according to a sinusoidal breathed volume. The lung volume well follows the imposed volume variation. The displacements from the rest position, for each nodeof the mesh are obtained. As no environmental constraints were applied, this displacements do not have any meaning. However, this illustrates how one can estimate every displacement in the lung and in tumours in the future.A medical protocol is already de ned to provide us with data of three different volumes of the lungs in order to verify our model. In parallel, to verify accuracy, a complementary model based on continuous mechanics is developed. The future work will be to incorporate environmental structures, heterogeneity and anisotropy and to compare our results with data obtained from our partners.
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Contributor : Pierre-Frédéric Villard Connect in order to contact the contributor
Submitted on : Tuesday, July 30, 2013 - 2:16:59 PM
Last modification on : Friday, September 10, 2021 - 1:50:10 PM
Long-term archiving on: : Thursday, October 31, 2013 - 4:19:07 AM


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  • HAL Id : hal-00849209, version 1


Vincent Baudet, Fabrice Jaillet, Behzad Shariat, Pierre-Frédéric Villard, Michaël Beuve, et al.. Approach to Simulate Tumour Displacements in Lungs with Mass Spring System.. 9th workshop on Heavy Charged Particles in Biology and Medicine, 2003, Lyon, France. ⟨hal-00849209⟩



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