Hepatic segment volume measuring method based on CT reinforcing scan technique

Abstract

The invention provides a hepatic segment volume measuring method based on a CT reinforcement scan technique, and relates to a method for processing medical images. The method comprises the following steps of: adopting an image processing algorithm to process data acquired after CT scan, and acquiring the surface profile of a liver organ and an intrahepatic vessel area; acquiring the central line of the hepatic vessel; processing the central line of the hepatic vessel into a tree structure, namely the number of nodes is equal to the number of edges plus one; projecting the liver data on a projection plane, and converting a three-dimensional liver into a two-dimensional classification in segments; processing the central lines of the blood vessels into smooth central curves of the blood vessels; and dividing the liver according to the central curves of the blood vessels, and working out the volume of each hepatic segment. The liver data acquired based on the CT reinforcement scan technique is subjected to Couinaud hepatic segment division, so that volumes of hepatic segments are acquired, and the method has great clinical significance.

Description

technical field [0001] The invention relates to a medical image processing method, in particular to a liver segmental volume measurement method based on CT enhanced scanning technology. Background technique [0002] CT (Computerized Tomography) is widely used in the field of medical clinical diagnosis. Enhanced CT scan is to scan the image after injecting contrast agent into the patient, so as to obtain images of the hepatic artery, hepatic vein, and portal vein in the liver. [0003] At present, with the rapid development of liver surgery, hepatic segment, sub-segment and even wedge resection have become possible. Therefore, there is an urgent need for accurate preoperative localization and liver segmentation of liver lesions. At present, the Couinaud liver segment division method (Soyer P. Segmental anatomy of the liver utility of anomenclature accepted worldwide [J]. AJR, 1993, 161(3): 572-573) is widely used in the world, which is based on the portal vein sheath system ...

AI Technical Summary

Problems solved by technology

However, because the branches of the portal vein have great anatomical variations in shape, size, number, etc.; at the same time, the boundary between segments is not a simple plane but irregular waves, so the traditional CT section segmentation method does not fully match the actual anatomy.

That is, according to traditional radiological standards, the correlation between CT slice liver segmentation and real liver anatomical segmentation is poor. According to research, the segmentation error of axial CT slice reaches 40%.

Therefore, the traditional CT slice segmentation method must be modified

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