Constitutive parameter estimation methodology using tagged-MRI data

A. Imperiale, R. Chabiniok, P. Moireau, D. Chapelle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a methodology for performing the estimation of a key constitutive parameter in a biomechanical heart model - namely, the tissue contractility - using tagged-MRI data. We adopt a sequential data assimilation strategy, and the image data is assumed to be processed in the form of deforming tag planes, which we employ to obtain a discrepancy between the model and the data by computing distances to these surfaces. We assess our procedure using synthetic measurements produced with a model representing an infarcted heart as observed in an animal experiment, and the estimation results are found to be of superior accuracy compared to assimilation based on segmented endo- and epicardium surfaces.

Original languageEnglish (US)
Title of host publicationFunctional Imaging and Modeling of the Heart - 6th International Conference, FIMH 2011, Proceedings
Pages409-417
Number of pages9
DOIs
StatePublished - 2011
Externally publishedYes
Event6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011 - New York City, NY, United States
Duration: May 25 2011May 27 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6666 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011
Country/TerritoryUnited States
CityNew York City, NY
Period5/25/115/27/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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