Graph Cut algorithm applies to medical image segmentation has the excellence of high precision and high accuracy. But object and background seeds must be selected by intervention in all image. Region growth is good at segmenting small region object, but seeds must be selected first and the result is not accurate when low contrast. According to the strong relativity between medical CT image sequence, GCRGIS algorithm is proposed for the segmentation of medical image. Take the contour of the first image as the edge of the second image and then segmented by region growth after erode the edge. The result shows that this algorithm is high speed and high quality. It just needs to deal with the first image by intervention and to deal with next image automatic.