Preliminary specificity study of the Bestel-Clément-Sorine electromechanical model of the heart using parameter calibration from medical images.


Patient-specific cardiac modelling can help in understanding pathophysiology and predict therapy effects. This requires the personalization of the geometry, kinematics, electrophysiology and mechanics. We use the Bestel-Clément-Sorine (BCS) electromechanical model of the heart, which provides reasonable accuracy with a reduced parameter number compared to the available clinical data at the organ level. We propose a preliminary specificity study to determine the relevant global parameters able to differentiate the pathological cases from the healthy controls. To this end, a calibration algorithm on global measurements is developed. This calibration method was tested successfully on 6 volunteers and 2 heart failure cases and enabled to tune up to 7 out of the 14 necessary parameters of the BCS model, from the volume and pressure curves. This specificity study confirmed domain-knowledge that the relaxation rate is impaired in post-myocardial infarction heart failure and the myocardial stiffness is increased in dilated cardiomyopathy heart failures.

DOI: 10.1016/j.jmbbm.2012.11.021
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@article{Marchesseau2013PreliminarySS, title={Preliminary specificity study of the Bestel-Cl{\'e}ment-Sorine electromechanical model of the heart using parameter calibration from medical images.}, author={St{\'e}phanie Marchesseau and Herv{\'e} Delingette and Maxime Sermesant and Michel Sorine and Kawal S. Rhode and Simon G. Duckett and C. Aldo Rinaldi and Reza F. Razavi and Nicholas Ayache}, journal={Journal of the mechanical behavior of biomedical materials}, year={2013}, volume={20}, pages={259-71} }