Published January 2012
| Version v1
Journal article
Personalization of Cardiac Motion and Contractility from Images using Variational Data Assimilation
Contributors
Others:
- Analysis and Simulation of Biomedical Images (ASCLEPIOS) ; Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Division of Imaging Sciences ; King's College London
- NIHR Biomedical Research Centre [London] ; King's College London-Guy's and St Thomas' NHS Foundation Trust
- European Project: 224495,ICT,FP7-ICT-2007-2,EUHEART(2008)
Description
Personalization is a key aspect of biophysical models in order to impact clinical practice. In this paper, we propose a personalization method of electromechanical models of the heart from cine-MR images based on the adjoint method. After estimation of electrophysiological parameters, the cardiac motion is estimated based on a proactive electromechanical model. Then cardiac contractilities on two or three regions are estimated by minimizing the discrepancy between measured and simulation motion. Evaluation of the method on three patients with infarcted or dilated myocardium is provided.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00616183
- URN
- urn:oai:HAL:inria-00616183v1
Origin repository
- Origin repository
- UNICA