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In this paper we present a contour tracker on echographic image sequences. To do this, we use a hierarchical approach: we first compute a global estimation of the ventricular motion. Then we use a fine tuning algorithm to adjust the detection of the ventricular wall. The global estimation is based on a parametric motion model with a small number of parameters. This allows us to compute the motion in a robust way from the velocity computed at each point of the contour.   Results are presented demonstrating tracking on various echographic sequences. We conclude by discussing some of our current research efforts.

Contour Tracking in Echocardiographic Sequences without Learning Stage: Application to the 3D Reconstruction of the Beating Left Ventricule