A practical algorithm to build geometric models of cardiac muscle structure
hal.structure.identifier | IHU-LIRYC | |
hal.structure.identifier | Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | POTSE, Mark | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
hal.structure.identifier | Institut Polytechnique de Bordeaux [Bordeaux INP] | |
hal.structure.identifier | Service Expérimentation et Développement [Bordeaux] [SED] | |
dc.contributor.author | CIRROTTOLA, Luca | |
hal.structure.identifier | Service Expérimentation et Développement [Bordeaux] [SED] | |
dc.contributor.author | FROEHLY, Algiane | |
dc.date.accessioned | 2024-04-04T02:36:09Z | |
dc.date.available | 2024-04-04T02:36:09Z | |
dc.date.conference | 2022-06-05 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/190703 | |
dc.description.abstractEn | Cardiac muscle tissue has a unique, network-like structure. Three-dimensional models of this structure are needed for simulations of cardiac electrophysiology and mechanics. We developed an algorithm to produce such models artificially, using an implicit surface expressed on a tailored unstructured multi-domain mesh to define the cell membranes. The algorithm first creates a random network of cell centers, observing angle and distance criteria inferred from real tissue. The space around the network edges is assigned to the cellular domains based on the nearest half-edge. The network is then immersed in a regular tetrahedral mesh which is refined to fit the domain boundaries and to offer sufficient density around the cell membrane. The refinements are alternated with basic mesh improvement operations to maintain an acceptable mesh quality. On the refined mesh a level-set function is expressed that defines the cell membrane. The remeshing code Mmg3d is then used to discretize the level set while retaining the domains, and to improve the quality of the final mesh. A serial implementation of the algorithm was able to produce meshes of a few hundreds of cardiac cells in 15 minutes, but we are still facing difficulties in the remesher, likely resulting from the unusual complexity of these meshes. It was still possible, however, to correctly mesh a small network of cells that was designed to be replicated by successive mirroring. This allowed us to build models of upto 1 cm 3 of tissue (11 million cells and 370 billion tetrahedra) that now serve in performance tests of a large-scale simulation code. | |
dc.language.iso | en | |
dc.subject.en | Biological systems | |
dc.subject.en | Cardiac modeling | |
dc.subject.en | Mesh adaptation | |
dc.subject.en | Level-set Methods | |
dc.title.en | A practical algorithm to build geometric models of cardiac muscle structure | |
dc.type | Communication dans un congrès | |
dc.subject.hal | Informatique [cs] | |
dc.subject.hal | Sciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire | |
dc.description.sponsorshipEurope | Numerical modeling of cardiac electrophysiology at the cellular scale | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | ECCOMAS 2022 - The 8th European Congress on Computational Methods in Applied Sciences and Engineering | |
bordeaux.country | NO | |
bordeaux.conference.city | Oslo | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-03936963 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | non | |
hal.conference.end | 2022-06-09 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-03936963v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=POTSE,%20Mark&CIRROTTOLA,%20Luca&FROEHLY,%20Algiane&rft.genre=unknown |
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