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.