Estimating local apparent conductivity with a 2-D electrophysiological model of the heart

Valérie Moreau-Villéger, Hervé Delingette, Maxime Sermesant, Hiroshi Ashikaga, Owen Faris, Elliot McVeigh, Nicholas Ayache

Research output: Contribution to journalConference articlepeer-review

Abstract

In this article we study the problem of estimating the parameters of a 2-D electrophysiological model of the heart from a set of temporal recordings of extracellular potentials. The chosen model is the reaction-diffusion model on the action potential proposed by Aliev and Panfilov. The strategy consists in building an error criterion based upon a comparison of depolarization times between the model and the measures. This error criterion is minimized in two steps: first a global and then a local adjustment of the model parameters. The feasibility of the approach is demonstrated on real measures on canine hearts, showing also the necessity to introduce anisotropy and probably a third spatial dimension in the model.

Original languageEnglish (US)
Pages (from-to)256-266
Number of pages11
JournalLecture Notes in Computer Science
Volume3504
DOIs
StatePublished - Jan 1 2005
EventThird International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005 - Barcelona, Spain
Duration: Jun 2 2005Jun 4 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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