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Inverse Problems for the Cardiac System

le 1 février 2018
à 13h30

Philippe Moireau, chercheur INRIA dans l'équipe MEDISIM du LMS (Ecole Polytechnique), interviendra lors d'un séminaire.

When considering the modeling of the cardiovascular system and more specifically the heart, there is a need for the personalization of not only the geometry but various aspects of the physical model: uncertain initial conditions, constitutive parameters or boundary conditions. Indeed, identifying key parameters -- using measurements of a type that is available in medical imaging -- can provide patient specific simulations that can be used by clinicians in their diagnosis. In other engineering fields where large amounts of data are available -- like weather forecasting or climatology-- it is now common to tackle these uncertainties in the models by data assimilation procedures -- variational (4D-var) or sequential (Kalman like). In this context, our objective is to propose data assimilation methods adapted to the specificity of the biomechanical systems considered and to the available data, in particular image sequences.
Type :
Séminaires - conférences
Lieu(x) :
Campus de Cachan
Bâtiment Léonard de Vinci
Amphi E-media

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