Fluid-structure interaction calibration from 4D-flow MRI data
hal.structure.identifier | Laboratoire de Mathématiques de Versailles [LMV] | |
dc.contributor.author | BOULAKIA, Muriel | |
hal.structure.identifier | COmputational Mathematics for bio-MEDIcal Applications [COMMEDIA] | |
dc.contributor.author | FERNÁNDEZ, Miguel Angel | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
hal.structure.identifier | COmputational Mathematics for bio-MEDIcal Applications [COMMEDIA] | |
dc.contributor.author | LOMBARDI, Damiano | |
hal.structure.identifier | Tiberiu Popoviciu Institute of Numerical Analysis | |
dc.contributor.author | NECHITA, Mihai | |
hal.structure.identifier | COmputational Mathematics for bio-MEDIcal Applications [COMMEDIA] | |
dc.contributor.author | AGBALESSI, Mocia | |
dc.date.conference | 2023-04-25 | |
dc.description.abstractEn | Patient-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.iso | en | |
dc.rights.uri | http://creativecommons.org/licenses/by/ | |
dc.title.en | Fluid-structure interaction calibration from 4D-flow MRI data | |
dc.type | Communication dans un congrès | |
dc.subject.hal | Mathématiques [math] | |
bordeaux.conference.title | CFC 2023 - IACM Computational Fluids Conference | |
bordeaux.country | FR | |
bordeaux.conference.city | Cannes | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-04397115 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | non | |
hal.conference.end | 2023-04-28 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-04397115v1 | |
bordeaux.COinS | ctx_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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