The Application of Regularization Method and Non-rigid matching in Dynamic Medical Image Analysis
正则化方法及非刚体匹配在医学动态图象分析中的应用

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.