Contour extraction of medical images using improved deformable model by integrating region information
Yangguang Sun, Hei Guang-yue, Jiangqing Wang, Mingyue Ding · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
Traditional deformable models provide a global method for image analysis, but these is easily relapsed into a local optimal in a high noise image and invalid for the image contour with deeply narrow concavities. In this paper, we proposed a novel deformable model to extract the contour of interested object in medical images in medical images. In the procedure of the evolvement of contour curve, by introducing the designed image transform operator to derive the region force from the region information included in the interested object, our method could improve the capacity to alleviate the sensitivity to image noise and converge into complex boundary. Experiments were performed with synthetic and medical images and the feasibility and robustness of our method was demonstrated.