Model assessment through data assimilation of realistic data in cardiac electrophysiology
MOIREAU, Philippe
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
< Reduce
Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM]
Language
en
Communication dans un congrès
This item was published in
FIMH 2019 - 10th Functional Imaging and Modeling of the Heart, 2019-06-06, Bordeaux. 2019-06-06
English Abstract
We consider a model-based estimation procedure-namely a data assimilation algorithm-of the atrial depolarization state of a subject using data corresponding to electro-anatomical maps. Our objective is to evaluate the ...Read more >
We consider a model-based estimation procedure-namely a data assimilation algorithm-of the atrial depolarization state of a subject using data corresponding to electro-anatomical maps. Our objective is to evaluate the sensitivity of such a model-based reconstruction with respect to model choices. The followed data assimilation approach is capable of using electrical activation times to adapt a monodomain model simulation, thanks to an ingenious model-data fitting term inspired from image processing. The resulting simulation smoothes and completes the activation maps when they are spatially incomplete. Moreover, conductivity parameters can also be inferred. The model sensitivity assessment is performed based on synthetic data generated with a validated realistic atria model and then inverted using simpler modeling ingredients. In particular, the impact of the muscle fibers definition and corresponding anisotropic conductivity parameters is studied. Finally, an application of the method to real data is presented, showing promising results.Read less <
English Keywords
Electrophysiology
Data assimilation
Cardiac modeling
Origin
Hal imported