Method for automatically generating liver 3D (three-dimensional) image and accurately positioning liver vascular domination region

Abstract

The invention provides a method for automatically generating a liver 3D (three-dimensional) image and accurately positioning a liver vascular domination region. The method comprises the following processes: acquiring a liver three-dimensional CT (computed tomography)-enhanced image; positioning and segmenting the liver; extracting liver blood vessels and analyzing the structure of the liver; and analyzing the vascular domination region. In the method, through the topology partitioning, the volume size of the drainage region of each venous blood vessel can be obtained so as to facilitate a surgeon to perform simulation and prediction before a liver surgery, and simultaneously facilitate research and understanding of positions of blood vessels in the liver region for scientific researchers.

Description

Technical field: [0001] The invention relates to the field of physics, in particular to graphic measurement and processing technology, in particular to a method for automatically generating a 3D image of the liver and accurately locating the dominating area of ​​liver vessels. Background technique: [0002] With the advent of the era of precise liver resection and living donor liver transplantation, precise liver segment surgery is the development trend of hepatobiliary surgery, which requires accurate preoperative estimation and measurement of the resected liver segment. The accuracy of CT for liver volume measurement has been recognized and even considered the gold standard. However, surgical operations often need to know the size of the liver volume in the blood supply of a certain portal vein or the drainage range of the hepatic vein, so as to judge how much blood flow in the liver will be affected after processing these blood vessels. However, since there are no specia...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for automatically generating a 3D image of the liver and accurately locating the area dominated by liver vessels. The method described in the prior art needs to solve the problem of understanding the liver volume, blood supply and drainage of each vessel before operation in the prior art. The technical problem of the inaccurate extent of the liver, as well as the limited means for researchers to study and understand the volume of the liver, the blood supply and drainage of each vessel, and the technical problem of the extent of the liver

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