Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data

Jatin Relan 1 Maxime Sermesant 1 Mihaela Pop 2 Hervé Delingette 1 Michel Sorine 3 Graham Wright 2 Nicholas Ayache 1
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
2 Imaging Research [Sunnybrook]
3 SISYPHE - SIgnals and SYstems in PHysiology & Engineering
Inria Paris-Rocquencourt
Abstract : Predictive cardiac electrophysiology models can provide a substantial aid in the success of the treatment of cardiac arrhythmias. Sufficiently accurate model predictions highly depend on the personalisation of the model i.e. estimation of patient-specific model parameters. In this paper, we evaluate the prediction ability of a simplified ionic 3D cardiac electrophysiology model, the Mitchell-Schaeffer model (2003), after personalisation. The personalisation is performed by optimising the model parameters, using the epicardial surface depolarisation and repolarisation maps obtained ex-vivo from optical imaging of large porcine healthy heart. We also evaluate the sensitivity of the personalisation method to a pacing location and the estimated parameter values. This is done by comparing the personalisation results obtained with left ventricle endocardial pacing location to those obtained with right ventricle epicardial pacing location. Later, using the personalised electrophysiology model, we predict the volumetric depolarisation and repolarisation time isochrones for right ventricle endocardial and left ventricle epicardial pacing locations and evaluate the epicardial isochrones against the actual maps obtained from the optical data.
Type de document :
Communication dans un congrès
CI2BM09 - MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling, Sep 2009, London, United Kingdom. 9 p., 2009
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/inria-00418471
Contributeur : Alain Monteil <>
Soumis le : vendredi 18 septembre 2009 - 16:35:07
Dernière modification le : mercredi 30 mai 2018 - 13:56:03
Document(s) archivé(s) le : mardi 15 juin 2010 - 22:06:19

Fichier

1_5_paper118a4.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00418471, version 1

Collections

CI2BM09 | INRIA | UNIV-COTEDAZUR

Citation

Jatin Relan, Maxime Sermesant, Mihaela Pop, Hervé Delingette, Michel Sorine, et al.. Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data. CI2BM09 - MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling, Sep 2009, London, United Kingdom. 9 p., 2009. 〈inria-00418471〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

414

Téléchargements de fichiers

152

Contact


archive-ouverte@inria.fr