euHeart: Personalized and integrated cardiac care using patient-specific cardiovascular modelling

Nic Smith 1, 2 A. De Vecchi 1 M. Mccormick 2, 3 D. Nordsletten 1 Oscar Camara 4, 5 Alejandro Frangi 4, 5, 6, 7 Hervé Delingette 8, * Maxime Sermesant 8, * Jatin Relan 8 Nicholas Ayache 8, * M.W. Krueger 9 W. Schulze 9 Rod Hose 10 I. Valverde 1 P. Beerbaum 1 C. Staicu 10 M. Siebes 11 J. Spaan 11 Peter Hunter 12 Jürgen Weese 13 H. Lehmann 14 Dominique Chapelle 15 Reza Razavi 16, 17
* Auteur correspondant
1 Imaging Sciences and Biomedical Engineering Division [London]
2 OUCL - Computing Laboratory
3 IPNO - Institut de Physique Nucléaire d'Orsay
4 CISTIB - Center for Computational Imaging and Simulation Technologies in Biomedicine
5 CIBER-BBN - Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine
6 ICREA - Institució Catalana de Recerca i Estudis Avançats [Barcelona]
7 Institute of Simulation and Graphics [Magdeburg]
8 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
9 Institute of Biomedical Engineering [Karlsruhe]
10 Department of Cardiovascular Science [Sheffield]
11 AMC - Academic Medical Center Amsterdam
12 Auckland Bioengineering Institute
13 Philips Research Laboratories [Eindhoven]
14 Philips Research [Nederlands]
15 MACS - Modeling, analysis and control in computational structural dynamics
Inria Paris-Rocquencourt
16 Division of Imaging Sciences
17 NIHR Biomedical Research Centre [London]
Abstract : The loss of cardiac pump function accounts for a significant increase in both mortality and morbidity in Western society, where there is currently a one in four lifetime risk, and costs associated with acute and long-term hospital treatments are accelerating. The significance of cardiac disease has motivated the application of state-of-the-art clinical imaging techniques and functional signal analysis to aid diagnosis and clinical planning. Measurements of cardiac function currently provide high-resolution datasets for characterizing cardiac patients. However, the clinical practice of using population-based metrics derived from separate image or signal-based datasets often indicates contradictory treatments plans owing to inter-individual variability in pathophysiology. To address this issue, the goal of our work, demonstrated in this study through four specific clinical applications, is to integrate multiple types of functional data into a consistent framework using multi-scale computational modelling.
Type de document :
Article dans une revue
Interface Focus, Royal Society publishing, 2011, 1 (3), pp.349--364. <10.1098/​rsfs.2010.0048>
Liste complète des métadonnées
https://hal.inria.fr/inria-00616189
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 19:47:31
Dernière modification le : mercredi 4 janvier 2017 - 16:20:42

Identifiants

Collections

IPNO | INRIA

Citation

Nic Smith, A. De Vecchi, M. Mccormick, D. Nordsletten, Oscar Camara, et al.. euHeart: Personalized and integrated cardiac care using patient-specific cardiovascular modelling. Interface Focus, Royal Society publishing, 2011, 1 (3), pp.349--364. <10.1098/​rsfs.2010.0048>. <inria-00616189>

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

500

Contact


archive-ouverte@inria.fr