%0 Journal Article
%T Edge Detection of IVUS Image Based on Active Contour Model and Statistical Features<br>基于活动轮廓模型和统计特征的血管内超声图像的边缘提取
%A QU Huai-jing~
%A <br>曲怀敬
%A 孙丰荣
%A 李艳玲
%A 刘泽
%A 宫延新
%A 张梅
%J 中国图象图形学报
%D 2005
%I 
%X The edge detection of intravascular ultrasound(IVUS) image has great significance in the diagnosis and treatment of the coronary artery disease. In this paper,a new method used for automatically detecting the intima and adventitia edge of IVUS image is presented.The method bases on active contour model,the contrast and Rayleigh distribution characteristics of IVUS image,effectively uses dynamic programming and heuristic graph searching,and automatically detects the intima and adventitia edge of IVUS image with the different cost functions.Experiments show that,compared with the former method of edge detection,our method is algorithmically simple,statistically accurate,reproducible and robust in sequential IVUS frames,and the algorithm is a kind of global optimal one.
%K intravascular ultrasound
%K active contour model
%K dynamic programming
%K contrast
%K Rayleigh distribution<br>血管内超声
%K 活动轮廓模型
%K 动态规划
%K 对比度
%K Rayleigh分布
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=91F1ADF74C4A2E3D&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=5D311CA918CA9A03&sid=E6D5A068841F33F3&eid=F0CB1CC137DFCF2D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=7&reference_num=8