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.