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

doi:10.1007/11494621_26

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 journal › Conference article › peer-review

1 Scopus citations

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 language	English (US)
Pages (from-to)	256-266
Number of pages	11
Journal	Lecture Notes in Computer Science
Volume	3504
DOIs	https://doi.org/10.1007/11494621_26
State	Published - 2005
Externally published	Yes
Event	Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005 - Barcelona, Spain Duration: Jun 2 2005 → Jun 4 2005

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11494621_26

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title = "Estimating local apparent conductivity with a 2-D electrophysiological model of the heart",

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.",

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note = "Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005 ; Conference date: 02-06-2005 Through 04-06-2005",

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TY - JOUR

T1 - Estimating local apparent conductivity with a 2-D electrophysiological model of the heart

AU - Moreau-Villéger, Valérie

AU - Delingette, Hervé

AU - Sermesant, Maxime

AU - Ashikaga, Hiroshi

AU - Faris, Owen

AU - McVeigh, Elliot

AU - Ayache, Nicholas

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/24944461036#tab=citedBy

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DO - 10.1007/11494621_26

M3 - Conference article

AN - SCOPUS:24944461036

SN - 0302-9743

VL - 3504

SP - 256

EP - 266

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005

Y2 - 2 June 2005 through 4 June 2005

ER -

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

Abstract

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