Multi angle
Direct and inverse biomechanical modeling of the heart
Auteurs : Chapelle, Dominique (Auteur de la Conférence)
CIRM (Editeur )
CIRM (Editeur )
- [Multi angle] The sparse cardinal sine decomposition and applications / Auteur de la Conférence Alouges, François.
- [Multi angle] High performance climate modelling : mimetic finite differences, and beyond? / Auteur de la Conférence Dubos, Thomas.
- [Multi angle] Modeling and data assimilation in cardiac electrophysiology / Auteur de la Conférence Collin, Annabelle.
- [Multi angle] A discussion about the impact of scalability constraint on the design of futur dynamical kernels of NWP models / Auteur de la Conférence Voitus, Fabrice.
- [Multi angle] Data-driven wildfire behavior modelling: focus on front level-set data assimilation / Auteur de la Conférence Rochoux, Mélanie.
- [Multi angle] Parametrized model order reduction for component-to-system synthesis / Auteur de la Conférence Patera, Anthony.
- [Multi angle] Efficient iterative solvers: FETI methods with multiple search directions / Auteur de la Conférence Roux, François-Xavier.
- [Multi angle] Optimized Schwarz waveform relaxation methods: theory and applications / Auteur de la Conférence Omnes, Pascal.
- [Multi angle] A posteriori error estimates and solver adaptivity in numerical simulations / Auteur de la Conférence Vohralík, Martin.
- [Multi angle] Multiple applications of high performance computing and numerical simulations in Total group / Auteur de la Conférence Ricoux, Philippe.
- [Multi angle] High performance computing with Feel++: applications and numerical methods / Auteur de la Conférence Prud'homme, Christophe.
- [Multi angle] Linear solvers for reservoir simulation / Auteur de la Conférence Hénon, Pascal.
- [Multi angle] Introduction to data assimilation: Kalman filters and ensembles / Auteur de la Conférence Mallet, Vivien.
- [Multi angle] Data assimilation training course @ CEMRACS: introduction and variational algorithms / Auteur de la Conférence Ricci, Sophie.
- [Multi angle] Tutorial with Freefem++ / Auteur de la Conférence Hecht, Frédéric.
- [Multi angle] Reduced basis methods: approximation of PDE's, interpolation and a posteriori estimate / Auteur de la Conférence Maday, Yvon.
- [Multi angle] A gentle introduction to parallel programming using OpenMP / Auteur de la Conférence Broquedis, François.
- [Multi angle] OpenCL introduction / Auteur de la Conférence Desprez, Frédéric.
- [Multi angle] Overview of architectures and programming language for parallel computing / Auteur de la Conférence Méhaut, Jean-françois.
- [Multi angle] Time parallel time integration / Auteur de la Conférence Gander, Martin.
- [Multi angle] Algorithms for future emerging technologies / Auteur de la Conférence Dongarra, Jack.
- [Multi angle] Domain decomposition, hybrid methods, coarse space corrections / Auteur de la Conférence Nataf, Frédéric.
- [Multi angle] The Portable Extensible Toolkit for Scientific Computing / Auteur de la Conférence Knepley, Matthew.
- [Multi angle] Krylov subspace solvers and preconditioners / Auteur de la Conférence Vuik, Kees.
Loading the player...
Résumé :
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.
Codes MSC : 92C10 - Biomechanics
92C55 - Biomedical imaging and signal processing, tomography
74H15 - Numerical approximation of solutions
|
Informations sur la Vidéo
Réalisateur : Hennenfent, GuillaumeLangue : Anglais Date de publication : 10/08/16 Date de captation : 10/08/16 Collection : Mathematical Physics ; Mathematics in Science and Technology ; Numerical Analysis and Scientific Computing Sous collection : Research talks Format : MP4 Domaine : Numerical Analysis & Scientific Computing ; Mathematical Physics ; Mathematics in Science & Technology Durée : 00:57:49 Audience : Chercheurs ; Doctorants , Post - Doctorants Download : https://videos.cirm-math.fr/2016-08-10_Chapelle.mp4 
|
Informations sur la rencontre
Nom de la rencontre : CEMRACS: Numerical challenges in parallel scientific computing / CEMRACS : Défis numériques en calcul scientifique parallèleOrganisateurs de la rencontre : Grigori, Laura ; Japhet, Caroline ; Moireau, Philippe ; Parnaudeau, Philippe Dates : 18/07/16 - 26/08/16 Année de la rencontre : 2016 URL Congrès : http://conferences.cirm-math.fr/1430.html Citation Data
DOI : 10.24350/CIRM.V.19028603Cite 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 |
Voir aussi
Bibliographie
Z
