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Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties
- Source :
-
Medical Image Analysis . Aug2006, Vol. 10 Issue 4, p642-656. 15p. - Publication Year :
- 2006
-
Abstract
- Abstract: 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 13618415
- Volume :
- 10
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Medical Image Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 21830648
- Full Text :
- https://doi.org/10.1016/j.media.2006.04.002