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Evaluation of a Rapid Anisotropic Model for ECG Simulation

hal.structure.identifierFaculty of Informatics [Lugano]
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
dc.contributor.authorPEZZUTO, Simone
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
hal.structure.identifierInstitute of Measurement Science [IMS]
dc.contributor.authorKALAVSKY, Peter
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
hal.structure.identifierMaastricht University [Maastricht]
dc.contributor.authorPRINZEN, Frits
hal.structure.identifierCardiocentro Ticino [Lugano]
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
dc.contributor.authorAURICCHIO, Angelo
hal.structure.identifierFaculty of Informatics [Lugano]
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
dc.contributor.authorKRAUSE, Rolf
dc.date.accessioned2024-04-04T03:09:32Z
dc.date.available2024-04-04T03:09:32Z
dc.date.created2016-12-02
dc.date.issued2017-05-02
dc.identifier.issn1664-042X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193613
dc.description.abstractEnState-of-the-art cardiac electrophysiology models that are able to deliver physiologically motivated activation maps and electrocardiograms (ECGs) can only be solved on high-performance computing architectures. This makes it nearly impossible to adopt such models in clinical practice. ECG imaging tools typically rely on simplified models, but these neglect the anisotropic electric conductivity of the tissue in the forward problem. Moreover, their results are often confined to the heart-torso interface. We propose a forward model that fully accounts for the anisotropic tissue conductivity and produces the standard 12-lead ECG in a few seconds. The activation sequence is approximated with an eikonal model in the 3d myocardium, while the ECG is computed with the lead-field approach. Both solvers were implemented on graphics processing units and massively parallelized. We studied the numerical convergence and scalability of the approach. We also compared the method to the bidomain model in terms of ECGs and activation maps, using a simplified but physiologically motivated geometry and 6 patient-specific anatomies. The proposed methods provided a good approximation of activation maps and ECGs computed with a bidomain model, in only a few seconds. Both solvers scaled very well to high-end hardware. These methods are suitable for use in ECG imaging methods, and may soon become fast enough for use in interactive simulation tools.
dc.language.isoen
dc.publisherFrontiers
dc.subject.enECG
dc.subject.eneikonal model
dc.subject.enlead fields
dc.subject.enbidomain modeling
dc.subject.enpatient-specific modeling
dc.subject.enelectrophysiology
dc.subject.meshCardiac Electrophysiology
dc.subject.meshMathematical Computing
dc.title.enEvaluation of a Rapid Anisotropic Model for ECG Simulation
dc.typeArticle de revue
dc.identifier.doi10.3389/fphys.2017.00265
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
bordeaux.journalFrontiers in Physiology
bordeaux.page265
bordeaux.volume8
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01567861
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01567861v1
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