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

Jiahe Xi, Pablo Lamata de la Orden, Jack Lee, Philippe Moireau, Dominique Chapelle, Nic Smith

Research output: Contribution to journalArticlepeer-review

83 Citations (Scopus)

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-silica 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. (C) 2011 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)1090 - 1102
Number of pages13
JournalJournal Of The Mechanical Behavior Of Biomedical Materials
Volume4
Issue number7
DOIs
Publication statusPublished - Oct 2011

Fingerprint

Dive into the research topics of 'Myocardial transversely isotropic material parameter estimation from in-silico measurements based on a reduced-order unscented Kalman filter'. Together they form a unique fingerprint.

Cite this