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Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorGASSA, Narimane
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorBOONSTRA, Machteld
hal.structure.identifierInstitute of Measurement Science [IMS]
dc.contributor.authorSVEHLIKOVA, Jana
hal.structure.identifierCollege of Computer and Information Science, Northeastern University [CCIS]
dc.contributor.authorBROOKS, Dana
hal.structure.identifierScientific Computing and Imaging Institute [SCI Institute]
dc.contributor.authorNARAYAN, Akil
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorVAN DAM, Peter
hal.structure.identifierScientific Computing and Imaging Institute [SCI Institute]
dc.contributor.authorMACLEOD, Rob
hal.structure.identifierScientific Computing and Imaging Institute [SCI Institute]
dc.contributor.authorTATE, Jess
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorZEMZEMI, Nejib
dc.date.accessioned2024-04-04T02:36:16Z
dc.date.available2024-04-04T02:36:16Z
dc.date.conference2022-09-04
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190709
dc.description.abstractEnElectrocardiographic Imaging (ECGI) is a promising tool to non-invasively map the electrical activity of the heart using body surface potentials (BSPs) and the patient specific anatomical data. One of the first steps of ECGI is the segmentation of the heart and torso geometries. In the clinical practice, the segmentation procedure is not fullyautomated yet and is in consequence operator-dependent. We expect that the inter-operator variation in cardiac segmentation would influence the ECGI solution. This effect remains however non quantified. In the present work, we study the effect of segmentation variability on the ECGI estimation of the cardiac activity with 262 shape models generated from fifteen different segmentations. Therefore, we designed two test cases: with and without shape model uncertainty. Moreover, we used four cases for ectopic ventricular excitation and compared the ECGI results in terms of reconstructed activation times and excitation origins. The preliminary results indicate that a small variation of the activation maps can be observed with a model uncertainty but no significant effect on the source localization is observed.
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
dc.description.sponsorshipPlateforme multi-modale d'exploration en cardiologie - ANR-11-EQPX-0030
dc.language.isoen
dc.title.enEffect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
dc.description.sponsorshipEuropePersonalized Therapies for Atrial Fibrillation. A Translational Approach
dc.description.sponsorshipEuropeTransparency of Food Pricing
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleComputing in Cardiology 2022
bordeaux.countryFI
bordeaux.conference.cityTampere
bordeaux.peerReviewedoui
hal.identifierhal-03936058
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2022-09-07
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03936058v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=GASSA,%20Narimane&BOONSTRA,%20Machteld&SVEHLIKOVA,%20Jana&BROOKS,%20Dana&NARAYAN,%20Akil&rft.genre=unknown


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