Algorithm for Segmentation of Medical Image Series Based on Active Shape Model
Xiaoyang Huang · Jisuanji fangzhen · 2007
An algorithm based on the active shape model was proposed for the soft tissue segmentation of medical image series. The soft tissue edges in medical image are blurry, so the soft tissue segmentation is very difficult. But its shape usually deforms sequentially in medical image series. An image was extracted every several images from the image sequence and segmented them by the other methods. The segmented images were used as the training maps of an active shape model. The model was created by Principle Component Analysis Algorithm, so this model could only deform in ways characteristic of the tissue it represented. This model was used to segment the left images in the image sequence by mutual information registration and active contour model. The experiments show the efficiency of this method.