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hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorCHAMORRO-SERVENT, Judit
hal.structure.identifierIHU-LIRYC
dc.contributor.authorDUBOIS, Rémi
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorCOUDIÈRE, Yves
dc.date.accessioned2024-04-04T02:57:48Z
dc.date.available2024-04-04T02:57:48Z
dc.date.issued2019-03-27
dc.identifier.issn1664-042X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192595
dc.description.abstractEnThe electrocardiographic imaging (ECGI) inverse problem highly relies on adding constraints, a process called regularization, as the problem is ill-posed. When there are no prior information provided about the unknown epicardial potentials, the Tikhonov regularization method seems to be the most commonly used technique. In the Tikhonov approach the weight of the constraints is determined by the regularization parameter. However, the regularization parameter is problem and data dependent, meaning that different numerical models or different clinical data may require different regularization parameters. Then, we need to have as many regularization parameter-choice methods as techniques to validate them. In this work, we addressed this issue by showing that the Discrete Picard Condition (DPC) can guide a good regularization parameter choice for the two-norm Tikhonov method. We also studied the feasibility of two techniques: The U-curve method (not yet used in the cardiac field) and a novel automatic method, called ADPC due its basis on the DPC. Both techniques were tested with simulated and experimental data when using the method of fundamental solutions as a numerical model. Their efficacy was compared with the efficacy of two widely used techniques in the literature, the L-curve and the CRESO methods. These solutions showed the feasibility of the new techniques in the cardiac setting, an improvement of the morphology of the reconstructed epicardial potentials, and in most of the cases of their amplitude.
dc.language.isoen
dc.publisherFrontiers
dc.title.enConsidering New Regularization Parameter-Choice Techniques for the Tikhonov Method to Improve the Accuracy of Electrocardiographic Imaging
dc.typeArticle de revue
dc.identifier.doi10.3389/fphys.2019.00273
dc.subject.halMathématiques [math]/Analyse numérique [math.NA]
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
dc.subject.halInformatique [cs]/Imagerie médicale
dc.subject.halInformatique [cs]/Traitement des images
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
dc.subject.halInformatique [cs]/Analyse numérique [cs.NA]
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
dc.subject.halSciences du Vivant [q-bio]/Biochimie, Biologie Moléculaire/Biophysique
bordeaux.journalFrontiers in Physiology
bordeaux.volume10
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02433961
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02433961v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers%20in%20Physiology&rft.date=2019-03-27&rft.volume=10&rft.eissn=1664-042X&rft.issn=1664-042X&rft.au=CHAMORRO-SERVENT,%20Judit&DUBOIS,%20R%C3%A9mi&COUDI%C3%88RE,%20Yves&rft.genre=article


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