Liver image segregation method based on hierarchy vessel tree division

The invention relates to a liver image segregation method based on hierarchy vessel tree division. The method comprises the steps that firstly, a directed tree is utilized to represent a topological structure of a liver portal vein vessel, then according to space distribution and branch average radius information of the liver portal vein vessel in a specific clinical case image, vessel hierarchical parameters are determined and a hierarchical vessel tree is created, a second-level subtree set providing blood for a liver is marked, marked second-level subtrees are divided into eight kinds according to blood supplying areas, the liver is divided into eight hepatic segments through the adoption of the shortest distance algorithm to be analyzed, and clinical interesting information is extracted. According to the method, for liver vessels with multiple branches and complex structures, good hieratical effects can be obtained, blood supplying effects of most second-level branches are considered, and hepatic segment distribution and attribute information obtained through segregation also accord with the Couinaud hepatic segmentation theory.