Improving efficiency of data assimilation procedure for a biomechanical heart model by representing surfaces as currents

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We adapt the formalism of currents to compare data surfaces and surfaces of a mechanical model and we use this discrepancy measure to feed a data assimilation procedure. We apply our methodology to perform parameter estimation in a biomechanical model of the heart using synthetic observations of the endo- and epicardium surfaces of an infarcted left ventricle. We compare this formalism with a more classical signed distance operator between surfaces and we numerically show that we have improved the efficiency of our estimation justifying the use of state-of-the-art computational geometry formalism in the data assimilation measurements processing.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings
Pages342-351
Number of pages10
DOIs
Publication statusPublished - 11 Jul 2013
Externally publishedYes
Event7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 - London, United Kingdom
Duration: 20 Jun 201322 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7945 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
Country/TerritoryUnited Kingdom
CityLondon
Period20/06/1322/06/13

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