%0 Journal Article
%T The Application of Regularization Method and Non-rigid matching in Dynamic Medical Image Analysis<br>正则化方法及非刚体匹配在医学动态图象分析中的应用
%A GU Jia
%A LUO Li-min
%A SHU Hua-zhong
%A Toumoulin Christine
%A <br>辜嘉
%A 罗立民
%A 舒华忠
%A ToumoulinC
%J 中国图象图形学报
%D 2003
%I 
%X This paper carried out a study on motion quantitative analysis, mainly aimed at two dynamic medical images (heart-echocardiograph and vessel-cineangiography), with the regularization method of computer vision and the clinic knowledge of cardiac wall and coronary vessel motions, and thus provided doctors with a useful tool to the diagnosis of cardiac disease. Our method first carries out a block-matching algorithm using the Lagrange operator to estimate the initial motion vectors. Then for the application of heart motion analysis, a Spring system model is employed to optimize the global smoothness; for the application of blood flow analysis, an assumption of local motion consistency is given, which offers a primal solution of this problem. An application software has also been completed. Experimental result shows that our algorithm is more efficient than the existing methods.
%K Dynamic medical image analysis
%K Regularization method
%K Heart motion analysis
%K Blood flow analysis
%K Non-rigid matching<br>非刚体匹配
%K 医学动态图象
%K 图象分析
%K 心血管疾病
%K 计算机视觉
%K 疾病诊断
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=4746974C647ED040&yid=D43C4A19B2EE3C0A&vid=5D311CA918CA9A03&iid=94C357A881DFC066&sid=DFBC046213B3DD86&eid=6313C162FF75889A&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=7