A Substructure Segmentation Method of Left Heart Regions from Cardiac CT Images Using Local Mesh Descriptors, Context and Spatial Location Information

Abstract

The combination of image segmentation and 3D mesh segmentation is a novel methodology in segmenting complex cardiac substructures. When using a supervised learning, the use of context features and the spatial location features can help to distinguish some substructures while the use of local features are not sufficient.