Automatic 3D segmentation of facial soft tissues using unlabelled prior information

In this paper we propose a new automatic 3D segmentation method for facial soft tissues on MRI images. We implemented a new region growing algorithm based on minimizing local energy functions. A consensus of many datasets, none of which were segmented a priori, is used to guide the segmentation. We applied our method to segment and visualize various facial soft tissues.