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Realization method of computer-assisted liver transplantation operation planning system

A computer-aided, method-implementing technique applied in the field of medical image processing

Inactive Publication Date: 2013-02-20
HEBEI UNIVERSITY
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AI Technical Summary

Problems solved by technology

Conventional methods in the field of medical image segmentation are active shape models and statistical shape models, however, modeling the shape of the liver in liver cancer patients is more challenging than modeling the shape of other organs such as prostate, kidney, and bone
The shape of the liver in different patients is ever-changing, which cannot be accurately described by a parameter probability distribution

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  • Realization method of computer-assisted liver transplantation operation planning system
  • Realization method of computer-assisted liver transplantation operation planning system
  • Realization method of computer-assisted liver transplantation operation planning system

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specific Embodiment approach

[0047] Such as figure 1 As shown, the first step in the method of the present invention is to establish a large-capacity normal human liver shape library. The steps are as follows: extensively collect clinical data, and manually segment livers from at least 300 cases of three-dimensional abdominal CT images by clinical experts as the liver gold standard of corresponding individuals. The surface mesh on the gold standard is extracted and sampled to obtain a mesh surface composed of a series of marked points and triangle patches, thereby establishing a normal liver shape library.

[0048] In the second step, the region growing algorithm is used to obtain the initial segmentation result of the liver cancer patient or the donor liver to be operated, and the segmentation result is expressed as a sparse linear combination expression of the shapes in the shape library. The result of the sparse combination expression serves as the prior shape of the liver for that patient or donor. ...

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Abstract

The invention relates to a realization method of a computer-assisted liver transplantation operation planning system, comprising the following steps: step 1, establishing a normal person liver shape library; step 2, for the liver to be operated, modeling the initial partition result of the liver area by using a method based on sparse representation, and eliminating disturbance of singular point and noise data, so as to obtain a prior shape having a liver area with patient adaptability; steps 3, precisely partitioning the liver by utilizing the prior shape, and simultaneously separating out liver parenchyma, portal vein, liver vein and tumour; step 4, dividing the liver into eight liver segments independent in functions by utilizing the liver vein partition result, and calculating the volume of each liver segment and the tumour; and step 5, carrying out 3D visualization on the partitioning and segmenting result. Compared with the prior art, the realization method has the advantages of high precision and robustness, convenience in realization and capability of treating complicated liver shapes.

Description

technical field [0001] The invention relates to a realization method of a computer-aided liver transplant operation planning system, which belongs to the technical field of medical image processing. Background technique [0002] In liver transplantation, accurate knowledge of the patient-specific liver anatomy is decisive for the development of surgical strategies. The volume of the transplanted liver should be sufficient to maintain the life needs of the recipient, while the remaining liver volume should be kept as large as possible to reduce damage to the liver donor. At the same time, since the anatomical structures of blood vessels and tumors in the liver vary greatly among different patients, surgeons need to know the location of the part of the liver to be resected and the distribution of blood vessels and tumors in the liver to make the best surgical cut Program. Therefore, preoperative surgical planning based on medical images is of great significance. It can impro...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG06T2207/30056G06T2207/30096
Inventor 董斌王国泰王洪瑞顾力栩
Owner HEBEI UNIVERSITY
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