Segmentation of 2D-echocardiographic sequences using level-set constrained by shape and motion priors
An algorithm to segment and track the myocardium using the level-set formalism is described. To this end, two priors are proposed: a shape prior based on a geometric model (hyperquadrics) and a motion one expressed as a level conservation constraint on the implicit function associated to the level-set. These priors term are coupled with a local data attachment term and a thickness term that prevents both contours from merging. The algorithm is validated on 20 echocardiographic sequences with manual references of 2 experts.