EP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts

Abstract : Our broad aim is to integrate experimental measurements (electro-cardiographic and MR) and cardiac computer models, for a better understanding of transmural wave propagation in individual hearts. In this paper, we first describe the acquisition and processing of the data provided to the EP simulation challenge organized at STACOM'11. The measurements were obtained in two swine hearts (i.e., one healthy and one with chronic infarction) and comprise in-vivo electro-anatomical CARTO maps (e.g., surfacic endo-/epicardial depolarization maps and bipolar voltage maps recorded in sinus rhythm), and high-resolution ex-vivo diffusion-weighted DW-MR images (voxel size < 1mm3). We briefly detail how we built anisotropic 3D MRI-based models for these two hearts, with fiber directions obtained using DW-MRI methods (which also allowed for infarct identification). We then focus on applications in cardiac modelling concerning propagation of depolarization wave, by employing forward mathematical approaches. Specifically, we present simulation results for the depolarization wave using a fast, macroscopic monodomain formalism (i.e., the two-variable Aliev-Panfilov model) and comparisons with measured depolarization times. We also include simulations obtained using the healthy heart and a simple Eikonal model, as well as a complex bidomain model. The results demonstrate small differences between computed isochrones using these computer models; specifically, we calculated a mean error ± S.D. of 2.8 ± 1.67 ms between Aliev-Panfilov and Eikonal models, and 6.1 ± 3.9 ms between Alie-Panfilov and bidomain models, respectively.
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Chapitre d'ouvrage
Camara, Oscar and Konukoglu, Ender and Pop, Mihaela and Rhode, Kawal and Sermesant, Maxime and Young, Alistair. LNCS, 7085, Springer Berlin Heidelberg, pp.1-13, 2012, STACOM 2011 : Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 978-3-642-28325-3. 〈10.1007/978-3-642-28326-0_1〉
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https://hal.inria.fr/hal-00801857
Contributeur : Yves Coudière <>
Soumis le : lundi 18 mars 2013 - 15:33:00
Dernière modification le : jeudi 15 mars 2018 - 22:16:03

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Mihaela Pop, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Sudip Ghate, et al.. EP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts. Camara, Oscar and Konukoglu, Ender and Pop, Mihaela and Rhode, Kawal and Sermesant, Maxime and Young, Alistair. LNCS, 7085, Springer Berlin Heidelberg, pp.1-13, 2012, STACOM 2011 : Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 978-3-642-28325-3. 〈10.1007/978-3-642-28326-0_1〉. 〈hal-00801857〉

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