Use of chaos concept in medical image segmentation

Despite its long track record, segmentation in medical image computing still remains an active field of research, largely due to the complexities of in-vivo anatomical structures, cross-subject and cross-modality variations. Clinically, it has many benefits for effective patient management, both in terms of pre-operative planning and post-operative assessment of the efficacy of therapeutic procedures. Research efforts are focused on novel, clinician friendly, robust and fast segmentation methodologies. In this paper, we present a novel algorithm for efficient segmentation based on Chaotic theory; the preliminary results show the potential of the proposed technique.