Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardiac Physiology

Oscar Camara; Maxime Sermesant; P. Lamata; L. Wang; Mihaela Pop; Jatin Relan; M. De Craene; Hervé Delingette; H. Liu; S. Niederer; A. Pashaei; G. Plank; D. Romero; R. Sebastian; Ken C.L. Wong; H. Zhang; Nicholas Ayache; Alejandro Frangi; P. Shi; Nic Smith; Graham Wright

HAL : inria-00616197, version 1

DOI : 10.1016/j.pbiomolbio.2011.07.007

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Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardiac Physiology
Camara O., Sermesant M., Lamata P., Wang L., Pop M. et al
Progress in Biophysics and Molecular Biology 107, 1 (2011) 122-133 - http://hal.inria.fr/inria-00616197

Domaine :

Informatique/Imagerie médicale

Informatique/Modélisation et simulation

Sciences du Vivant/Ingénierie biomédicale/Imagerie

Sciences de l'ingénieur/Traitement du signal et de l'image

Informatique/Traitement du signal et de l'image

Titre :

Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardiac Physiology

Auteur(s) :

Oscar Camara^{1, 2}, Maxime Sermesant (

)³, P. Lamata^{4, 5}, L. Wang^{6, 7, 8, 9}, Mihaela Pop¹⁰, Jatin Relan³, M. De Craene^{1, 2}, Hervé Delingette (

)³, H. Liu^{11, 12, 13}, S. Niederer⁴, A. Pashaei^{1, 2}, G. Plank¹⁴, D. Romero^{1, 2}, R. Sebastian¹⁵, Ken C.L. Wong³, H. Zhang^{16, 17, 18, 19, 20}, Nicholas Ayache (

)³, Alejandro Frangi^{1, 2, 21, 22}, P. Shi²³, Nic Smith^{4, 5}, Graham Wright^{10, 24}

Projet(s) / laboratoire(s) :

1 :	CISTIB - Center for Computational Imaging and Simulation Technologies in Biomedicine

http://cilab2.upf.edu/index2.html

Pompeu Fabra University

Barcelone

Espagne

2 :	CIBER-BBN - Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine

http://www.ciber-bbn.org/

ministerio de ciencia e innovacion – Instituto de Salud Carlos III

CIBER-BBN (Salida Campus Río Ebro) C/ María de Luna, 11 Edificio CEEI 50018 Zaragoza

France

3 :	INRIA Sophia Antipolis - ASCLEPIOS

http://www-sop.inria.fr/asclepios

INRIA

2004 route des lucioles, BP93 06902 Sophia Antipolis Cedex

France

4 :	Department of Biomedical Engineering [London]

http://www.kcl.ac.uk/medicine/research/divisions/imaging/departments/biomedengineering/contact.aspx

King's College London – St Thomas Hospital

King's College London The Rayne Institute 4th Floor, Lambeth Wing St Thomas' Hospital London SE1 7EH

Royaume-Uni

5 :	Department of Computer Science [Oxford]

http://www.cs.ox.ac.uk/

University of Oxford

University of Oxford Wolfson Building Parks Road OXFORD OX1 3QD UK

Royaume-Uni

6 :	LCB - Laboratoire de chimie bactérienne

CNRS : UPR9043

31 Chemin Joseph Aiguier 13402 MARSEILLE CEDEX 20

France

7 :	LSP - Laboratoire de Spectrométrie Physique

http://www-lsp.ujf-grenoble.fr/

CNRS : UMR5588 – Université Joseph Fourier - Grenoble I

140 Avenue de la Physique - BP 87 - 38402 Saint Martin d'Hères - France

France

8 :	Biomécanique et Bioingéniérie

http://www.utc.fr/umr6600/

CNRS : UMR6600 – Université de Technologie de Compiègne

Département Génie Biologique UMR6600 Biomécanique Biomédical - BP 20529 60205 COMPIEGNE CEDEX

France

9 :	Physics - Department of Physics

http://www.physics.utoronto.ca/

University of Toronto

Department of Physics, 60 St. George St., Toronto, Ontario, M5S 1A7, Canada

Canada

10 :	Imaging Research [Sunnybrook]

http://www.sunnybrook.ca/research/?page=sri_disc_img_home

Sunnybrook Health Sciences Centre – University of Toronto

Sunnybrook Health Sciences Centre 2075 Bayview Ave., Room S6 65B Toronto, ON

Canada

11 :	SPMS - Laboratoire Structures, Propriétés et Modélisation des solides

http://www.spms.ecp.fr

CNRS : UMR8580 – Ecole Centrale Paris

Grande voie des vignes - 92295 chatenay-malabry Cedex - France

France

12 :	IEMN - Institut d'électronique, de microélectronique et de nanotechnologie

http://www.iemn.univ-lille1.fr/

CNRS : UMR8520 – Institut supérieur de l'électronique et du nunérique (ISEN) – Université Lille I - Sciences et technologies – Université de Valenciennes et du Hainaut-Cambresis

avenue Poincaré, Cité scientifique, BP 69, 59652 Villeneuve d'Ascq cedex

France

13 :	Beijing Institute of Technology

Beijing Institute of Technology

100081 Beijing

Chine

14 :	Institute of Biophysics [Graz]

http://www.medunigraz.at/biophysik/

Medical University of Graz

Medical University of Graz, Harrachgasse 21/IV, 8010 Graz

Autriche

15 :	Computational Multi-Scale Physiology Lab [Valencia]

http://www.uv.es/commlab/

Universidad de Valencia

Dpt. Computer Sciences, Universitat de Valencia Bld. Farmacia, d.1.2.22. Avda. de la Universidad s/n 46950 Burjassot, Valencia, SPAIN

Espagne

16 :	Institut des Sciences Chimiques de Rennes

CNRS : UMR6226 – Université de Rennes 1 – Institut National des Sciences Appliquées (INSA) - Rennes – Ecole Nationale Supérieure de Chimie de Rennes

Campus de Beaulieu - Bât. 10 Avenue du Général Leclerc 35042 Rennes Cedex

France

17 :	IBCP - Institut de biologie et chimie des protéines [Lyon]

http://www.ibcp.fr

CNRS : UMR5086 – Université Claude Bernard - Lyon I

7 Passage du Vercors 69367 LYON CEDEX 07

France

18 :	Biologie moléculaire et cellulaire de la différenciation

http://www.lyon.inserm.fr/309/index.html

INSERM : U309 – Institut Albert Bonniot – Université Joseph Fourier - Grenoble I

Domaine de La Merci 38706 LA TRONCHE CEDEX

France

19 :	CPPM - Centre de Physique des Particules de Marseille

http://marwww.in2p3.fr/

CNRS : UMR7346 – IN2P3 – Université de la Méditerranée - Aix-Marseille II

163, avenue de Luminy - Case 902 - 13288 Marseille cedex 09

France

20 :	Department of Chemistry [HKUST]

http://www-chem.ust.hk/

Hong Kong University of Science and Technology

Department of Chemistry The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong

Hong-Kong

21 :	ICREA - Institució Catalana de Recerca i Estudis Avançats [Barcelona]

http://www.icrea.cat/web/home.aspx

ICREA – Universitat de Barcelona – Fundació Catalana per a la Recerca i la Innovació (FCRI)

Passeig Lluís Companys, 23 08010 Barcelona - Espanya

Espagne

22 :	Institute of Simulation and Graphics [Magdeburg]

http://isgwww.cs.uni-magdeburg.de/index.html.de

Otto-von-Guericke-Universität Magdeburg

Otto-von-Guericke University Institute of Simulation and Graphics POB 4120 39016 Magdeburg Germany

Allemagne

23 :	Computational Biomedicine Laboratory [Rochester]

http://www.rit.edu/

Rochester Institute of Technology

Rochester Institute of Technology 1 Lomb Memorial Drive Rochester, NY 14623-5603

États-Unis

24 :	MBP - Department of Medical Biophysics

http://medbio.utoronto.ca/index.html

University of Toronto

Department of Medical Biophysics University of Toronto Ontario Cancer Institute, Princess Margaret Hospital 610 University Avenue, Rm 7-411 Toronto, Ontario, CANADA

Canada

Résumé :

Computational models of the heart at various scales and levels of complexity have been independently developed, parameterised and validated using a wide range of experimental data for over four decades. However, despite remarkable progress, the lack of coordinated efforts to compare and combine these computational models has limited their impact on the numerous open questions in cardiac physiology. To address this issue, a comprehensive dataset has previously been made available to the community that contains the cardiac anatomy and fibre orientations from magnetic resonance imaging as well as epicardial transmembrane potentials from optical mapping measured on a perfused ex-vivo porcine heart. This data was used to develop and customize four models of cardiac electrophysiology with different level of details, including a personalized fast conduction Purkinje system, a maximum a posteriori estimation of the 3D distribution of transmembrane potential, the personalization of a simplified reaction-diffusion model, and a detailed biophysical model with generic conduction parameters. This study proposes the integration of these four models into a single modelling and simulation pipeline, after analyzing their common features and discrepancies. The proposed integrated pipeline demonstrates an increase prediction power of depolarization isochrones in different pacing conditions.

Langue du document :

Anglais

Titre de la revue :

Progress in Biophysics and Molecular Biology (Prog Biophys Mol Biol)
Publisher	Elsevier
ISSN	0079-6107

Type de publication :

Articles dans des revues avec comité de lecture

Date de publication :

2011

Audience :

internationale

Editeur commercial :

Elsevier

Titre volume :

Experimental and Computational Model Interactions in Bio-Research: State of the Art

Volume :

107

Numéro :

Pagination :

122-133

Date de rédaction :

2011


inria-00616197, version 1
http://hal.inria.fr/inria-00616197
oai:hal.inria.fr:inria-00616197
Contributeur : Project-Team Asclepios <>
Déposé pour le compte de : Gregoire MALANDAIN <>
Soumis le : Vendredi 19 Août 2011, 19:57:07
Dernière modification le : Mercredi 4 Juillet 2012, 14:55:21