Description

Computed tomography (CT) images have been widely used for diagnosis of liver disease and threshold value for liver surgery or transplantation. We propose a new approach to automatic segmentation of the liver for threshold value in sequential CT images. Our method analyzes the intensity distribution of several abdominal CT samples and exploits a priori knowledge, such as CT numbers and location of the liver to identify coherent regions that correspond to the liver. The proposed scheme utilizes recursively morphological filter with region-labeling and clustering to detect the search range and to generate the initial liver contour. In this search range, we deform liver contour using the labeling-based search algorithm following pattern features of the liver contour.