Multiscale Geometric Active Contour Model and Boundary Extraction in Kidney MR Images

摘要：

　　Active contour methods (ACM) are model-based approaches for image segmentation and were developed in the late 1980s.ACM can be divided into two classes: parametric active contour model and geometric active contour model.Geometric method is intrinsic model.Because of its completeness in mathematics,geometric active contour model overcomes many difficulties of the parametric active contour model.However,in medical images with heavy structural noise,the evolution of the geometric active contour will be seriously affected.To handle this problem,this paper proposed a multiscale geometric active contour model,based on the multiscale analysis method—bidimensional empirical mode decomposition.In the human kidney MR images,the proposed multiscale geometric active contour model successfully extracts the complex kidney contour.

关键词： active contour method bidimensional empirical mode decomposition MR images segmentation multisacle active contour method

作者: Ling Li Jia Gu Tiexiang Wen Wenjian Qin Hua Xiao Jiaping Yu

作者单位: Shenzhen Institutes of Advanced Technology, Chinese Academy of Science 1Shenzhen Key Lab for Low-Cost Healthcare

会议类型: 国际会议

会议名称: The Third International Coference on Health Information Science(HIS2014)2014年第三届健康信息学国际学术会议

会议地点: 深圳

会议语种:英文

页码: 212-219

在线出版日期: 2014-04-22（万方平台首次上网日期，不代表论文的发表时间）