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Direct and inverse biomechanical modeling of the heart

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Authors : Chapelle, Dominique (Author of the conference)
CIRM (Publisher )

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Abstract : The heart undergoes some highly complex multi-scale multi-physics phenomena that must be accounted for in order to adequately model the biomechanical behavior of the complete organ. In this respect, a major focus of our work has been on formulating modeling ingredients that satisfy the most crucial thermomechanical requirements - in particular as regards energy balances - throughout the various forms of physical and scale-related couplings. This has led to a "beating heart" model for which some experimental and clinical validations have already been obtained. Concurrently, with the objective of building "patient-specific" heart models, we have investigated some original approaches inspired from data assimilation concepts to benefit from the available clinical data, with a particular concern for medical imaging. By combining the two fundamental sources of information represented by the model and the data, we are able to extract some most valuable quantitative knowledge on a given heart, e.g. as regards some uncertain constitutive parameter values characterizing a possible pathology, with important perspectives in diagnosis assistance. In addition, once the overall uncertainty has been adequately controlled via this adjustment process, the model can be expected to become "predictive", hence should provide clinically-relevant quantitative information, both in the current state of the patient and under various scenarii of future evolutions, such as for therapy planning.

MSC Codes :
92C10 - Biomechanics
92C55 - Biomedical imaging and signal processing, tomography
74H15 - Numerical approximation of solutions

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 10/08/16
    Conference Date : 10/08/16
    Subseries : Research talks
    arXiv category : Numerical Analysis ; Quantitative Biology
    Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Mathematical Physics ; Mathematics in Science & Technology
    Format : MP4 (.mp4) - HD
    Video Time : 00:57:49
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2016-08-10_Chapelle.mp4

Information on the Event

Event Title : CEMRACS: Numerical challenges in parallel scientific computing / CEMRACS : Défis numériques en calcul scientifique parallèle
Event Organizers : Grigori, Laura ; Japhet, Caroline ; Moireau, Philippe ; Parnaudeau, Philippe
Dates : 18/07/16 - 26/08/16
Event Year : 2016
Event URL : http://conferences.cirm-math.fr/1430.html

Citation Data

DOI : 10.24350/CIRM.V.19028603
Cite this video as: Chapelle, Dominique (2016). Direct and inverse biomechanical modeling of the heart. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19028603
URI : http://dx.doi.org/10.24350/CIRM.V.19028603

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