English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We present recent advances on a 3D numerical modeling of the myocardium which couples electrical and biomechanical models. The long-term objective is to simulate a realistic contraction of the heart from both electrical measurements (typically the ECG) and geometrical measurements (typically provided by medical imaging). This realistic contraction should provide useful quantitative parameters for the diagnosis and also for guiding some new forms of therapy. Our modeling is based on a multi- scale analysis ranging from microscopic to macroscopic scales, and integrates a priori information on the overall geometry and on the b er directions extracted from specic medical imaging techniques (e.g. dtMRI). The FitzHugh-Nagumo equations are solved along with a constitutive law based on the Hill-Maxwell Rheological model, on which a data assimilation analysis is done. In medical image analysis, we believe that this new generation of physics-based deformable models will be useful to provide a more robust quantitative interpretation of temporal series of cardiac images. R esum e. Nous pr esentons ici nos avanc ees sur la mod elisation du myocarde couplant des mod eles electriques et biom ecaniques. L'objectif a long terme est de simuler la contraction du cur a partir de mesures ECG et d'images m edicales, an de fournir des outils d'aide au diagnostic. Notre mod ele se base sur une etude multi ehelle des ph enom enes et des donn ees anatomiques extraites d'images m edicales. La partie electrique repose sur le mod ele de FitzHugh-Nagumo et la partie m ecanique reprend le formalisme de Hill-Maxwell avec une nouvelle loi de comportement, sur laquelle de l'assimilation de donn ees est r ealis ee. En imagerie m edicale, nous pensons que ce nouveau type de mod eles devrait permettre une interpr etation plus robuste des s equences temporelles.

Progress towards model-based estimation of the cardiac electromechanical activity from ECG signals and 4D images