Discriminant snakes for 3D reconstruction in medical images

We propose a new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classical snake attracted by edge points; it deforms due to a generalised contour representation. The snake selects and classifies image features by a parametric classifier and each snaxel deforms to minimise the dissimilarity between the learned and found image features inside the feature space. We apply our statistic snake to segment anatomical organs and the results are very encouraging