Document Detail


Myocardial transversely isotropic material parameter estimation from in-silico measurements based on a reduced-order unscented Kalman filter.
MedLine Citation:
PMID:  21783118     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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:
Jiahe Xi; Pablo Lamata; Jack Lee; Philippe Moireau; Dominique Chapelle; Nic Smith
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Publication Detail:
Type:  Journal Article     Date:  2011-03-27
Journal Detail:
Title:  Journal of the mechanical behavior of biomedical materials     Volume:  4     ISSN:  1878-0180     ISO Abbreviation:  J Mech Behav Biomed Mater     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2011-07-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101322406     Medline TA:  J Mech Behav Biomed Mater     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1090-102     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Affiliation:
Computing Laboratory, University of Oxford, Wolfson Building, Parks Road Oxford, OX1 3QD, UK; Biomedical Engineering Department, Kings College London, 4th Floor, Lambeth Wing, St. Thomas Hospital, London, SE1 7EH, UK.
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