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

hal.structure.identifierSunnybrook Research Institute [Toronto] [SRI]
dc.contributor.authorPOP, Mihaela
hal.structure.identifierAnalysis and Simulation of Biomedical Images [ASCLEPIOS]
dc.contributor.authorSERMESANT, Maxime
hal.structure.identifierSiemens Corporate Research [Princeton]
dc.contributor.authorMANSI, Tommaso
hal.structure.identifierSunnybrook Research Institute [Toronto] [SRI]
dc.contributor.authorCRYSTAL, Eugene
hal.structure.identifierSunnybrook Research Institute [Toronto] [SRI]
dc.contributor.authorGHATE, Sudip
hal.structure.identifierAnalysis and Simulation of Biomedical Images [ASCLEPIOS]
dc.contributor.authorRELAN, Jatin
hal.structure.identifierUniversité de Pau et des Pays de l'Adour [UPPA]
dc.contributor.authorPIERRE, Charles
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorCOUDIÈRE, Yves
hal.structure.identifierSunnybrook Research Institute [Toronto] [SRI]
dc.contributor.authorBARRY, Jennifer
hal.structure.identifierSunnybrook Research Institute [Toronto] [SRI]
dc.contributor.authorLASHEVSKY, Ilan
hal.structure.identifierSunnybrook Research Institute [Toronto] [SRI]
dc.contributor.authorQIANG, Beiping
hal.structure.identifierJohns Hopkins University [Baltimore] [JHU]
dc.contributor.authorMCVEIGH, Elliot
hal.structure.identifierAnalysis and Simulation of Biomedical Images [ASCLEPIOS]
dc.contributor.authorAYACHE, Nicholas
hal.structure.identifierSunnybrook Research Institute [Toronto] [SRI]
dc.contributor.authorWRIGHT, Grahama.
dc.contributor.editorCamara
dc.contributor.editorOscar and Konukoglu
dc.contributor.editorEnder and Pop
dc.contributor.editorMihaela and Rhode
dc.contributor.editorKawal and Sermesant
dc.contributor.editorMaxime and Young
dc.contributor.editorAlistair
dc.date.accessioned2024-04-04T02:22:27Z
dc.date.available2024-04-04T02:22:27Z
dc.date.issued2012
dc.identifier.isbn978-3-642-28325-3
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189653
dc.description.abstractEnOur 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.
dc.language.isoen
dc.publisherSpringer Berlin Heidelberg
dc.source.titleLNCS
dc.subject.encardiac DW-MRI
dc.subject.enelectrophysiology
dc.subject.en3D computer modelling
dc.title.enEP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1007/978-3-642-28326-0_1
dc.subject.halInformatique [cs]/Modélisation et simulation
bordeaux.page1-13
bordeaux.volume7085
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.title.proceedingLNCS
hal.identifierhal-00801857
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00801857v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.btitle=LNCS&amp;rft.date=2012&amp;rft.volume=7085&amp;rft.spage=1-13&amp;rft.epage=1-13&amp;rft.au=POP,%20Mihaela&amp;SERMESANT,%20Maxime&amp;MANSI,%20Tommaso&amp;CRYSTAL,%20Eugene&amp;GHATE,%20Sudip&amp;rft.isbn=978-3-642-28325-3&amp;rft.genre=unknown


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