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hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierIHU-LIRYC
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorDIALLO, Mohamadou Malal
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorCOUDIÈRE, Yves
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorDUBOIS, Rémi
dc.contributor.editorDaniel B. Ennis
dc.contributor.editorLuigi E. Perotti
dc.contributor.editorVicky Y. Wang
dc.date.accessioned2024-04-04T02:43:03Z
dc.date.available2024-04-04T02:43:03Z
dc.date.issued2021-06-18
dc.date.conference2021-06-21
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191300
dc.description.abstractEnElectrocardiographic Imaging (ECGI) is a non-invasive procedure that allows to reconstruct the electrical activity of the heart from body surface potential map (BSPM). In this paper, we present a volume model to solve the electrocardiography inverse problem capable to take into account structural informations obtained by imaging techniques. The direct problem maps a volume current in the cardiac muscle (ventricles) to the body surface electrical measures. The model is based on coupling bidomain heart model with torso conduction. The corresponding inverse problem is solved with the Tikhonov regularization. Simulated database are used for the evaluation of this method and we compared them to standard method of fundamental solutions (MFS). The sensitivity to noise is also assessed. The correlation coefficients (CC) and the relative error (RE) of activation times were computed. Results show that the CC (respectively RE) median is respectively 0.75 for the volume model and 0.4 for the MFS (respectively 0.31 vs 0.35) on the epicardium. On the endocardium, the CC and the RE median are 0.65 and 0.33 for the volume method. In conclusion, the volume method performs better than the method of fundamental solutions (MFS) for any noise level, and reconstruct in addition endocardial information.
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
dc.language.isoen
dc.publisherSpringer International Publishing
dc.publisher.locationCham
dc.source.titleLecture Notes in Computer Science
dc.subject.enInverse problem
dc.subject.enScar
dc.subject.enECGI
dc.subject.enElectrocardiography
dc.title.enA Volume Source Method for Solving ECGI Inverse Problem
dc.typeCommunication dans un congrès
dc.identifier.doi10.1007/978-3-030-78710-3_53
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
dc.description.sponsorshipEuropeERC Grant ECSTATIC 715093
bordeaux.page551-560
bordeaux.volumeLNCS-12738
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleFIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart
bordeaux.countryUS
bordeaux.title.proceedingLecture Notes in Computer Science
bordeaux.conference.cityStanford / Virtual
bordeaux.peerReviewedoui
hal.identifierhal-03507452
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2021-06-25
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03507452v1
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