Liver subsection method based on CT image and system thereof

A liver segmentation and CT image technology, applied in the field of liver segmentation methods and systems, can solve the problems of inability to perform interactive operations, inability to quickly and easily correct classification results, segmentation errors, etc., and achieve convenient classification, easy modification, and improvement. effect of effect

Inactive Publication Date: 2009-05-06
HUAZHONG UNIV OF SCI & TECH
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If the local specificity of blood vessels may cause grading errors, this method cannot be operated inte

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  • Liver subsection method based on CT image and system thereof
  • Liver subsection method based on CT image and system thereof
  • Liver subsection method based on CT image and system thereof

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[0038] The invention is a complete liver segmentation method for MSCTP sequence images. The liver segmentation of the present invention is divided according to the regions to which different branches of the portal vein blood vessels belong, and the liver segmentation mainly includes five parts: liver segmentation, blood vessel segmentation and thinning, blood vessel grading, liver segmentation and three-dimensional reconstruction.

[0039] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0040] Such as figure 1 As shown, the method of the present invention includes the following steps:

[0041] (1) Load the portal vein phase and arterial phase sequence images of abdominal MSCTP to automatically segment the liver. The flowchart is as follows image 3 As shown, the specific steps are as follows:

[0042] (1.1) Pretreatment. Data cropping is performed on the serial images of the port...

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Abstract

The invention discloses a liver division method based on a CT image, which comprises the following steps: firstly, an MSCTP artery sequence image and a hepatic portal vein sequence image of the abdomen are pretreated, and the outline of the liver is automatically divided to obtain the liver image; secondly, a multi-scale filtering method based on a Hessian matrix is used for strengthening blood vessels, a dividing method such as region enlargement, and the like is used for dividing the hepatic portal vein, and a three-dimensional topology thinning method is used for picking up the central line of the hepatic portal vein; the blood vessels are identified mutually in classification; distance change and Voronoi arithmetic are then used for calculation, and the outline of the liver is used for covering values to obtain division results; the three-dimensional liver division results are finally reconstructed. The system comprises a liver division module, a blood vessel strengthening dividing and a thinning module, a blood vessel classifying module, a liver dividing module and a three-dimensional reconstructing module. The invention can reduce noise as well as avoid the vagueness of the boundary of the liver, effectively and exactly divides the outline of the liver, improves the division quality of the hepatic portal vein tree, and realizes accurate and rapid division of the liver.

Description

technical field [0001] The invention belongs to the field of medical image processing and application, and in particular relates to a liver segmentation method and a system thereof. The invention can effectively segment the liver, reconstruct a three-dimensional model of the liver, and can visually display the shape of each segment of the liver. Background technique [0002] The liver is the largest solid organ in the human body. Anatomical studies have shown that the liver is divided into eight liver segments, and each liver segment has an independent pipeline system, which can be used as a surgical resection unit. With the development of liver transplantation and liver resection in recent years, the segmental anatomy of the liver has attracted more and more attention from surgeons. Multi-slice spiral CT (multi-slice spiral CT, MSCT) is widely used in clinical diagnosis, and its enhanced scan images are divided into three-phase sequence images of arterial phase, portal ven...

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Application Information

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IPC IPC(8): G06T17/00G06T7/00A61B6/03
Inventor 张智万少朋郭睿丁亮胡道予谢庆国
Owner HUAZHONG UNIV OF SCI & TECH
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