A Fast-Marching Approach to Cardiac Electrophysiology Simulation for XMR Interventional Imaging

Abstract : Cardiac ablation procedures are becoming more routine to treat arrhythmias. The development of electrophysiological models will allow investigation of treatment strategies. However, current models are computationally expensive and often too complex to be adjusted with current clinical data. In this paper, we have proposed a fast algorithm to solve Eikonal-based models on triangular meshes. These models can be used to extract hidden parameters of the cardiac function from clinical data in a very short time, thus could be used during interventions. We propose a first approach to estimate these parameters, and have tested it on synthetic and real data derived using XMR imaging.We demonstrated a qualitative matching between the estimated parameter and XMR data. This novel approach opens up possibilities to directly integrate modelling in the interventional room.
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Communication dans un congrès
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI'05), 2005, Palm Springs, California, United States. Springer, 3750, pp.607--615, 2005, LNCS. 〈10.1007/1156648975〉
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https://hal.inria.fr/inria-00616008
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 18:22:09
Dernière modification le : jeudi 21 juin 2018 - 17:14:02

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Maxime Sermesant, Yves Coudière, Valérie Moreau-Villéger, Kawal Rhode, Derek Hill, et al.. A Fast-Marching Approach to Cardiac Electrophysiology Simulation for XMR Interventional Imaging. Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI'05), 2005, Palm Springs, California, United States. Springer, 3750, pp.607--615, 2005, LNCS. 〈10.1007/1156648975〉. 〈inria-00616008〉

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