Self Stabilization of Image Attributes for Left Ventricle Segmentation

摘要

Clinically, segmentation has many benefits for effective patient management, both in terms of pre-operative planning and postoperative assessment. Volumetric image segmentation of medical data still remains as a major challenge, largely due to the complexities of invivo anatomical structures, cross-subject and cross-modality variations. This correspondence presents a semiautomatic segmentation algorithm that is based on graph and chaos theory. Also, we introduce a new weighting function in the method for accurate delineation of regions of interest in medical images that contain regional inhomogeneities; the preliminary results show the potential of the proposed technique.