Progress Toward using MRI and a Heart Model to Estimate Patient-Specific Indices of Cardiac Function
ESAIM. Proceedings, Tome 14 (2005), pp. 224-234.

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In this article, we present a framework to estimate cardiac function parameters like local myocardium contractility using clinical MRI, a heart model and data assimilation. First, we build a generic anatomical model of the ventricles including muscle fibre orientations and anatomical subdivisions. Then, this model is deformed to fit a segmented MRI, using an affine registration method and a local deformable biomechanical model. An electromechanical model of the heart can be simulated on this mesh. Data assimilation makes it possible to estimate local contractility from given displacements. Presented results on simulated data and adjustment to clinical data are very promising. Current work on model calibration and estimation of patient parameters open up possibilities for clinical application of this framework.
DOI : 10.1051/proc:2005017

M. Sermesant 1 ; P. Moireau 2 ; R. Andriantsimiavona 1 ; J. Sainte-Marie 2 ; O. Camara 1 ; R. Cimrman 3 ; D. L.G. Hill 1 ; D. Chapelle 2 ; R. Razavi 1

1 Cardiac MR Research Group, King's College London, 5th Floor Thomas Guy House, Guy's Hospital, London, UK.
2 MACS project, INRIA Rocquencourt, France.
3 New Technologies Research Centre, Západočeská univerzita v Plzni, Univerzitní 22, 306 14 Plzeň, Czech Republic.
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M. Sermesant; P. Moireau; R. Andriantsimiavona; J. Sainte-Marie; O. Camara; R. Cimrman; D. L.G. Hill; D. Chapelle; R. Razavi. Progress Toward using MRI and a Heart Model to Estimate Patient-Specific Indices of Cardiac Function. ESAIM. Proceedings, Tome 14 (2005), pp. 224-234. doi : 10.1051/proc:2005017. http://geodesic.mathdoc.fr/articles/10.1051/proc:2005017/

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