Myocardial transversely isotropic material parameter estimation from in-silico measurements based on reduced-order unscented Kalman filter

Abstract : Parameter estimation from non-invasive measurements is a crucial step in patient-specific cardiac modeling. It also has the potential to provide sig- nificant assistance in the clinical diagnosis of cardiac diseases through the quantification of myocardial material heterogeneity. In this paper, we for- mulate a novel Reduced-order Unscented Kalman Filter (rUKF) applied to the left ventricular (LV) nonlinear mechanical model based on cubic-Hermite finite elements. Material parameters in the widely-employed transversely isotropic Guccione's constitutive law are successfully identified for both ho- mogeneous and heterogeneous cases. We conclude that the four parameters in Guccione's law can be uniquely and correctly determined in silico from noisy displacement measurements of material points located on the myocar- dial surfaces. The future application of this novel and effective approach to real clinical measurements is thus promising.
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Journal of mechanical behavior of biomedical materials, Elsevier, 2011, 4 (7), pp.1090-1102. 〈10.1016/j.jmbbm.2011.03.018〉
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https://hal.inria.fr/hal-00654545
Contributeur : Dominique Chapelle <>
Soumis le : jeudi 22 décembre 2011 - 11:26:54
Dernière modification le : vendredi 25 mai 2018 - 12:02:03

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J. Xi, P. Lamata, J. Lee, Philippe Moireau, Dominique Chapelle, et al.. Myocardial transversely isotropic material parameter estimation from in-silico measurements based on reduced-order unscented Kalman filter. Journal of mechanical behavior of biomedical materials, Elsevier, 2011, 4 (7), pp.1090-1102. 〈10.1016/j.jmbbm.2011.03.018〉. 〈hal-00654545〉

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