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Fluid-structure interaction calibration from 4D-flow MRI data

hal.structure.identifierLaboratoire de Mathématiques de Versailles [LMV]
dc.contributor.authorBOULAKIA, Muriel
hal.structure.identifierCOmputational Mathematics for bio-MEDIcal Applications [COMMEDIA]
dc.contributor.authorFERNÁNDEZ, Miguel Angel
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierCOmputational Mathematics for bio-MEDIcal Applications [COMMEDIA]
dc.contributor.authorLOMBARDI, Damiano
hal.structure.identifierTiberiu Popoviciu Institute of Numerical Analysis
dc.contributor.authorNECHITA, Mihai
hal.structure.identifierCOmputational Mathematics for bio-MEDIcal Applications [COMMEDIA]
dc.contributor.authorAGBALESSI, Mocia
dc.date.conference2023-04-25
dc.description.abstractEnPatient-specific blood flow simulations are intensively fostered as a way of providing predictive mech- anistic biomarkers for thoracic aneurysms treatment from medical imaging data. Such biomarkers are generally sensitive to the underlying flow model (pure fluid model, fluid-structure interaction, bound- ary conditions, etc.). In the past 20 years, 4D-flow MRI has become a promising image data modality for blood flow model personalization, since it is non-invasive and provides a time-resolved three-dimensional encoding of the blood velocity field. This work is devoted to the state estimation of a fluid-structure interaction (FSI) model of aortic blood flow using 4D-flow MRI data. We propose a state estimation approach which avoids lumped pa- rameter models of boundary conditions through a unique continuation approach coupled to a Luenberger observer. The capabilities of the proposed approach will be assessed in a numerical study involving synthetic and clinical data.
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enFluid-structure interaction calibration from 4D-flow MRI data
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]
bordeaux.conference.titleCFC 2023 - IACM Computational Fluids Conference
bordeaux.countryFR
bordeaux.conference.cityCannes
bordeaux.peerReviewedoui
hal.identifierhal-04397115
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2023-04-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04397115v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=BOULAKIA,%20Muriel&FERN%C3%81NDEZ,%20Miguel%20Angel&LOMBARDI,%20Damiano&NECHITA,%20Mihai&AGBALESSI,%20Mocia&rft.genre=unknown


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