An adaptive active contour model-variational level set without re-initialization is proposed in this paper.We use local characteristics of image to implement adaptive curve evolution. Simultaneously

We add local C-V energy term and improve the edge stop function.These can increase the iterative convergence speed and make it more robust to the intensity distribution overlapping， intensity inhomogeneity and weak boundary. Combining with the characteristics of serial medical images

transform the segmentation result of current slice to piecewise constant function using the Heaviside function. Cast it to the next slice as the initial curve to implement automatic segmentation of serial images. The proposed method has been applied to segment normal structure and diseased tissue in musculoskeletal MRI with promising results.