From Volume Medical Images to Quadratic Surface Patches

摘要

In this paper, we show how to extract reliable information about the shape of 3D objects obtained from volume medical images. We present an optimal region-growing algorithm, that makes use of the differential characteristics of the object surface and achieves a stable segmentation into a set of patches of quadratic surfaces. We show how this segmentation can be used to recognize and locate a target substructure on a global anatomic structure.