title: Myocardial transversely isotropic material parameter estimation from in-silico measurements based on a 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 significant assistance in the clinical diagnosis of cardiac diseases through the quantification of myocardial material heterogeneity. In this paper, we formulate 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 homogeneous 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 myocardial surfaces. The future application of this novel and effective approach to real clinical measurements is thus promising.
authors.affiliation: Computing Laboratory, University of Oxford, Wolfson Building, Parks Road Oxford OX1 3QD, UK.
authors.forename: Jiahe
authors.initials: J
authors.lastname: Xi
authors.forename: Pablo
authors.initials: P
authors.lastname: Lamata
authors.forename: Jack
authors.initials: J
authors.lastname: Lee
authors.forename: Philippe
authors.initials: P
authors.lastname: Moireau
authors.forename: Dominique
authors.initials: D
authors.lastname: Chapelle
authors.forename: Nic
authors.initials: N
authors.lastname: Smith
mesh_terms: D001696:Biomechanical Phenomena; D005240:Feasibility Studies; D020342:Finite Element Analysis; D006352:Heart Ventricles / Q000033:anatomy & histology; D055595:Mechanical Phenomena; D008953:Models, Anatomic; D017711:Nonlinear Dynamics; D016277:Ventricular Function, Left