Tagged MR images provide much motion information

which provides advantage for motion reconstruction of left ventricle(LV)

but region inhomogeneity

weak edges

artifacts and influence of tag lines can emerge in images

so the segmentation of tagged left ventricle MR images is difficult. At present

it is almost accomplished manually. This paper introduced an automatic segmentation method of tagged left ventricle MR images

which is based on multistage hybrid processing and is composed of three parts. First the left ventricle is located using morphological method

then whose inner and outer contours are initialized using k-mean clustering

templet matching and the myocardium shape restoration based on skeleton. At last

the initial contour lines are evolved using improved level set method to achieve object boundaries. The performance of this new approach is demonstrated using tagged MR images

and experimental results proved the robustness and effectiveness of this method.