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hal.structure.identifierIHU-LIRYC
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBAYER, Jason
hal.structure.identifierMedical University Graz
dc.contributor.authorPRASSL, Anton
hal.structure.identifierCenter for Computational Imaging and Simulation Technologies in Biomedicine [CISTIB]
dc.contributor.authorPASHAEI, Ali
hal.structure.identifierIHU-LIRYC
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorGÓMEZ, Juan F.
hal.structure.identifierIHU-LIRYC
hal.structure.identifierHôpital Haut-Lévêque [CHU Bordeaux]
dc.contributor.authorFRONTERA, Antonio
hal.structure.identifierMedical University Graz
dc.contributor.authorNEIC, Aurel
hal.structure.identifierMedical University Graz
dc.contributor.authorPLANK, Gernot
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorVIGMOND, Edward
dc.date.accessioned2024-04-04T03:05:35Z
dc.date.available2024-04-04T03:05:35Z
dc.date.issued2018
dc.identifier.issn1361-8415
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193259
dc.description.abstractEnBeing able to map a particular set of cardiac ventricles to a generic topologically equivalent representation has many applications, including facilitating comparison of different hearts, as well as mapping quantities and structures of interest between them. In this paper we describe Universal Ventricular Coordinates (UVC), which can be used to describe position within any biventricular heart. UVC comprise four unique coordinates that we have chosen to be intuitive, well defined, and relevant for physiological descriptions. We describe how to determine these coordinates for any volumetric mesh by illustrating how to properly assign boundary conditions and utilize solutions to Laplace's equation. Using UVC, we transferred scalar, vector, and tensor data between four unstructured ventricular meshes from three different species. Performing the mappings was very fast, on the order of a few minutes, since mesh nodes were searched in a KD tree. Distance errors in mapping mesh nodes back and forth between meshes were less than the size of an element. Analytically derived fiber directions were also mapped across meshes and compared, showing < 5 ° difference over most of the ventricles. The ability to transfer gradients was also demonstrated. Topologically variable structures, like papillary muscles, required further definition outside of the UVC framework. In conclusion, UVC can aid in transferring many types of data between different biventricular geometries.
dc.description.sponsorshipStimulation de surface étendue à faible intensité (WAYLESS): une nouvelle thérapie pour terminer les arythmies cardiaques létales - ANR-16-CE19-0009
dc.language.isoen
dc.publisherElsevier
dc.subject.enMapping
dc.subject.enCoordinates
dc.subject.enVolumetric meshes
dc.subject.enDeformation
dc.title.enUniversal ventricular coordinates: A generic framework for describing position within the heart and transferring data
dc.typeArticle de revue
dc.identifier.doi10.1016/j.media.2018.01.005
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
dc.subject.halInformatique [cs]/Imagerie médicale
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
bordeaux.journalMedical Image Analysis
bordeaux.page83-93
bordeaux.volume45
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01826726
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01826726v1
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