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Angioplasty simulation using ChainMail method

Abstract : Tackling transluminal angioplasty planning, the aim of our work is to bring, in a patient specific way, solutions to clinical problems. This work focuses on realization of simple simulation scenarios taking into account macroscopic behaviors of stenosis. It means simulating geometrical and physical data from the inflation of a balloon while integrating data from tissues analysis and parameters from virtual tool-tissues interactions. In this context, three main behaviors has been identified: soft tissues crush completely under the effect of the balloon, calcified plaques, do not admit any deformation but could move in deformable structures, the blood vessel wall undergoes consequences from compression phenomenon and tries to find its original form. We investigated the use of Chain-Mail which is based on elements linked with the others thanks to geometric constraints. Compared with time consuming methods or low realism ones, Chain-Mail methods provide a good compromise between physical and geometrical approaches. In this study, constraints are defined from pixel density from angio-CT images. The 2D method, proposed in this paper, first initializes the balloon in the blood vessel lumen. Then the balloon inflates and the moving propagation, gives an approximate reaction of tissues. Finally, a minimal energy level is calculated to locally adjust element positions, throughout elastic relaxation stage. Preliminary experimental results obtained on 2D computed tomography (CT) images (100x100 pixels) show that the method is fast enough to handle a great number of linked-element. The simulation is able to verify real-time and realistic interactions, particularly for hard and soft plaques.
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Submitted on : Wednesday, June 13, 2007 - 5:13:48 PM
Last modification on : Friday, January 15, 2021 - 3:33:54 AM
Long-term archiving on: : Thursday, April 8, 2010 - 7:41:56 PM



Tanguy Le Fol, Oscar Acosta-Tamayo, Antoine Lucas, Pascal Haigron. Angioplasty simulation using ChainMail method. Medical Imaging 2007, Jun 2007, San Diego, California, United States. pp.65092X-1 -65092X-8, ⟨10.1117/12.709582⟩. ⟨inserm-00153871⟩



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