Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties
✍ Scribed by M. Sermesant; P. Moireau; O. Camara; J. Sainte-Marie; R. Andriantsimiavona; R. Cimrman; D.L.G. Hill; D. Chapelle; R. Razavi
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 963 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1361-8415
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✦ Synopsis
In this paper, we present a framework to estimate local ventricular 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 clinical MRI, using a semi-automatic fuzzy segmentation, an affine registration method and a local deformable biomechanical model. An electromechanical model of the heart is then presented and simulated. Finally, a data assimilation procedure is described, and applied to this model. Data assimilation makes it possible to estimate local contractility from given displacements. Presented results on fitting to patient-specific anatomy and assimilation with simulated data are very promising. Current work on model calibration and estimation of patient parameters opens up possibilities to apply this framework in a clinical environment.