Human liver feature modeling and vascular model space normalization method

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....

AI Technical Summary

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 no accurate corresponding benchmark between the multi-media liver vascular model and the three-dimensional space of the liver model, human liver feature modeling and vascular model that solve the problem of normalization of liver tissue and tube coordinates through the external feature registration technology that integrates multi-source feature information spatial normalization method

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