Human liver feature modeling and vascular model space normalization method

A technology of blood vessel model and liver, which is applied in the field of human liver feature modeling and space normalization of blood vessel model, which can solve problems such as uneven gray scale

Inactive Publication Date: 2017-06-13
NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to realize the feature extraction and three-dimensional model reconstruction of the liver medical image through gray-scale nonlinear transformation and multi-phase segmented smooth level set algorithm for the gray-scale inhomogeneity of human liver CT images and MRI images; In view of the fact that there is n...

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  • Human liver feature modeling and vascular model space normalization method
  • Human liver feature modeling and vascular model space normalization method
  • Human liver feature modeling and vascular model space normalization method

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Embodiment Construction

[0024] The method for modeling human liver features and space normalization of blood vessel models of the present invention comprises the following steps.

[0025] (1) Multi-source medical image information data preprocessing

[0026] 1. Liver CT and MRI multi-source medical image data input: load the liver CT sequence images into the computer memory, and provide basic data for subsequent liver 3D model reconstruction through Gaussian denoising processing. After the reconstruction of the three-dimensional liver model, the MRI images were loaded into the computer memory, and Gaussian denoising was also performed to provide basic data for the subsequent reconstruction of the vascular model.

[0027] 2. Non-linear liver CT and MRI grayscale separation processing: the grayscale value of human liver CT and MRI images is Hounsfied value, the CT value of fat is about -100, that of muscle is about 40, that of spongy bone is 100-300, and that of cortical bone It is about 2000, and the...

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Abstract

The invention discloses a human liver feature modeling and vascular model space normalization method. The method comprises the steps of preprocessing multi-source medical image information data; extracting human liver edge features; performing three-dimensional modeling; and performing multi-source information and different-medium-based human liver and vascular feature coordinate normalization. According to the method, liver medical image feature extraction and three-dimensional model rebuilding are realized through gray level nonlinear transformation and multiphase piecewise smooth level set algorithms for gray level non-uniformity of human liver CT image and MRI image; and for the fact that accurate corresponding references do not exist in three-dimensional spaces of a multi-medium liver vascular model and a liver model, the problem in liver tissue organ coordinate normalization is solved through an external feature registration technology fusing multisource feature information.

Description

technical field [0001] The present invention relates to the fields of medical image processing and three-dimensional digital modeling, specifically a method for modeling human liver characteristics and space normalization of blood vessel models, and more specifically a method for feature extraction of liver multi-source information images and three-dimensional model reconstruction and the space coordinate normalization method of liver vessel model and liver model under multi-media working conditions. Background technique [0002] The liver is one of the most important organs of the human body. Its complex anatomical structure and high incidence of diseases make liver surgery an important and difficult point in the field of general surgery. Individualized treatment is the development trend of medical treatment at present. Due to the anatomical variation and the diversity of diseases in liver surgery, it is very necessary to formulate a complete surgical plan for each patient....

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Application Information

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IPC IPC(8): G06T7/11G06T7/13G06T7/181
CPCG06T17/00G06T2207/10081G06T2207/10088G06T2207/30056
Inventor 张学昌韩俊翔郑洲
Owner NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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