euHeart: Personalized and integrated cardiac care using patient-specific cardiovascular modelling
Nic Smith
(1, 2)
,
A. de Vecchi
(1)
,
M. Mccormick
(2)
,
D. Nordsletten
(1)
,
Oscar Camara
(3, 4)
,
Alejandro Frangi
(3, 4, 5, 6)
,
Hervé Delingette
(7)
,
Maxime Sermesant
(7)
,
Jatin Relan
(7)
,
Nicholas Ayache
(7)
,
M.W. Krueger
(8)
,
W. Schulze
(8)
,
Rod Hose
(9)
,
I. Valverde
(1)
,
P. Beerbaum
(1)
,
C. Staicu
(9)
,
M. Siebes
(10)
,
J. Spaan
(10)
,
Peter Hunter
(11)
,
Jürgen Weese
(12)
,
H. Lehmann
(13)
,
Dominique Chapelle
(14)
,
Reza Razavi
(15, 16)
1
Imaging Sciences and Biomedical Engineering Division [London]
2 OUCL - Computing Laboratory
3 CISTIB - Center for Computational Imaging and Simulation Technologies in Biomedicine
4 CIBER-BBN - Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine
5 ICREA - Institució Catalana de Recerca i Estudis Avançats = Catalan Institution for Research and Advanced Studies
6 Institute of Simulation and Graphics [Magdeburg]
7 ASCLEPIOS - Analysis and Simulation of Biomedical Images
8 Institute of Biomedical Engineering [Karlsruhe]
9 Department of Cardiovascular Science [Sheffield]
10 AMC - Academic Medical Center - Academisch Medisch Centrum [Amsterdam]
11 Auckland Bioengineering Institute
12 Philips Research Laboratories [Eindhoven]
13 Philips Research [Nederlands]
14 MACS - Modeling, analysis and control in computational structural dynamics
15 Division of Imaging Sciences
16 NIHR Biomedical Research Centre [London]
2 OUCL - Computing Laboratory
3 CISTIB - Center for Computational Imaging and Simulation Technologies in Biomedicine
4 CIBER-BBN - Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine
5 ICREA - Institució Catalana de Recerca i Estudis Avançats = Catalan Institution for Research and Advanced Studies
6 Institute of Simulation and Graphics [Magdeburg]
7 ASCLEPIOS - Analysis and Simulation of Biomedical Images
8 Institute of Biomedical Engineering [Karlsruhe]
9 Department of Cardiovascular Science [Sheffield]
10 AMC - Academic Medical Center - Academisch Medisch Centrum [Amsterdam]
11 Auckland Bioengineering Institute
12 Philips Research Laboratories [Eindhoven]
13 Philips Research [Nederlands]
14 MACS - Modeling, analysis and control in computational structural dynamics
15 Division of Imaging Sciences
16 NIHR Biomedical Research Centre [London]
Alejandro Frangi
- Function : Author
Hervé Delingette
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- PersonId : 2424
- IdHAL : herve-delingette
- ORCID : 0000-0001-6050-5949
- IdRef : 050645714
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Maxime Sermesant
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- PersonId : 2423
- IdHAL : maxime-sermesant
- ORCID : 0000-0002-6256-8350
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Jatin Relan
- Function : Author
- PersonId : 761727
- IdRef : 167644211
Nicholas Ayache
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- IdHAL : nicholas-ayache
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Dominique Chapelle
- Function : Author
- PersonId : 7549
- IdHAL : dominique-chapelle
- ORCID : 0000-0003-0794-412X
- IdRef : 035018402
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.