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Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data

Florence Billet 1 Maxime Sermesant 1, * Hervé Delingette 1, * Nicholas Ayache 1, *
* Corresponding author
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We present a method for cardiac motion recovery using the adjustment of an electromechanical model of the heart to cine MRI. This approach is based on a proactive model which consists in a constrained minimisation of an energy coupling the model and the data. The pre- sented method relies on speci c image features in order to constrain the motion of the endocardia and epicardium and impose boundary condi- tions at the base. Thus, image intensity and gradient information are used to constrain the motion of the myocardium surfaces while a 3D block matching technique leads to the motion estimation of base ver- tices. Finally, we show that the implicit time integration of those forces and personalised boundary conditions lead to a better cardiac motion recovery from cine-MR images.
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https://hal.inria.fr/inria-00616137
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Florence Billet, Maxime Sermesant, Hervé Delingette, Nicholas Ayache. Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data. Functional Imaging and Modeling of the Heart 2009 (FIMH'09), 2009, Nice, France. pp.376-385, ⟨10.1007/978-3-642-01932-6_41⟩. ⟨inria-00616137⟩

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