A Web abdominal anatomical structure database system

Abdominal anatomical structure database is a necessary precondition for medical image computer-aided diagnosis. In this paper, a Web database system based on the CT abdomen anatomy images is established. The system consists of abdominal viscera segmentation and anatomical structure database. Firstly, we need to segment the spleen and liver in abdominal CT images. For spleen segmentation, an improved Otsu-based algorithm is put forward; for liver segmentation, an improved algorithm combined probability graph and traditional graph cut segmentation algorithm is used. Secondly, a Web oriented abdominal viscera anatomical structure database system using SSI framework is constructed, storing and managing image information of segmented organs. Lastly, through the experimental measurement for abdominal CT image segmentation and database system, the experimental results show that the proposed segmentation algorithm and the liver spleen segmentation algorithm can get more accurate segmentation results. The database system can provide remote management, making it available for medical researchers use the computer remotely access to the Internet to obtain the required data anywhere.