正则化方法及非刚体匹配在医学动态图象分析中的应用

为了给医生利用医学图象进行诊断和分析心血管疾病提供一个有效的工具和途径，利用计算机视觉中的正则化方法，结合心脏和心血管动态特征的临床知识，对两种医学动态图象(超声心动图和心血管造影图)进行了定量的运动分析，并完成了一套应用软件．实验结果证明，该方法明显优于以往的图象分析方法。

The Application of Regularization Method and Non-rigid matching in Dynamic Medical Image Analysis

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.