Fluid-structure interaction calibration from 4D-flow MRI data
LOMBARDI, Damiano
Institut de Mathématiques de Bordeaux [IMB]
COmputational Mathematics for bio-MEDIcal Applications [COMMEDIA]
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Institut de Mathématiques de Bordeaux [IMB]
COmputational Mathematics for bio-MEDIcal Applications [COMMEDIA]
LOMBARDI, Damiano
Institut de Mathématiques de Bordeaux [IMB]
COmputational Mathematics for bio-MEDIcal Applications [COMMEDIA]
< Reduce
Institut de Mathématiques de Bordeaux [IMB]
COmputational Mathematics for bio-MEDIcal Applications [COMMEDIA]
Language
en
Communication dans un congrès
This item was published in
CFC 2023 - IACM Computational Fluids Conference, 2023-04-25, Cannes.
English Abstract
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 ...Read more >
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.Read less <
Origin
Hal imported