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Method for three-dimensional reproduction of point cloud reconstruction CT (Computed Tomography) image

A 3D reproduction and point cloud technology, applied in the field of medical image processing, can solve problems such as poor accuracy of CT images and difficulty in visualization, and achieve the effects of simplified processing, accurate models, and optimized model accuracy

Pending Publication Date: 2022-08-05
SOUTHEAST UNIV CHENGXIAN COLLEGE
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AI Technical Summary

Problems solved by technology

[0003] The invention provides a point cloud reconstruction CT Figure three The method of three-dimensional reconstruction solves the problem of poor accuracy and difficult visualization of CT images after three-dimensional reconstruction

Method used

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  • Method for three-dimensional reproduction of point cloud reconstruction CT (Computed Tomography) image
  • Method for three-dimensional reproduction of point cloud reconstruction CT (Computed Tomography) image
  • Method for three-dimensional reproduction of point cloud reconstruction CT (Computed Tomography) image

Examples

Experimental program
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Embodiment

[0044] Example: a point cloud reconstruction CT Figure 3 Methods of dimensional reproduction, including:

[0045] (1) Image data processing:

[0046] In order to achieve 3D point cloud reconstruction, it is necessary to digitize the acquired images, and only after obtaining appropriate parameters and data can 3D reconstruction be performed. Therefore, the first step is to use binarization to process the image. Image binarization means converting a non-binary image into a binary image after calculation. It is the simplest method for image segmentation, that is, in the subsequent image processing technology, it can simplify the post-processing, improve the processing speed, and discard part of the image. Useless information.

[0047]Perform binarization processing on the image, and after obtaining the image, perform binarization processing on it. The common binarization algorithm is as follows: Among them, t is a binarization threshold, that is, setting a grayscale value gr...

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Abstract

The invention discloses a point cloud reconstruction CT image three-dimensional reproduction method, which comprises the steps of carrying out binarization processing on an image by adopting a maximum between-cluster variance method, extracting an edge part of the binarized image, adding a plurality of transition layers to each image due to a large Z-axis difference of each image, and after final scatter data is obtained, according to space coordinates of scatters, carrying out three-dimensional reconstruction on the image according to the space coordinates of the scatters. On the basis of the Delaunay triangulation network and the Alpha Shapes method of the two-dimensional plane, the Delaunay triangulation network and the Alpha Shapes method of the two-dimensional plane are combined and expanded to the three-dimensional plane, the shape of the image is constructed, three-dimensional reproduction of the CT image is achieved, the similarity of the three-dimensional reproduction model is guaranteed, the precision of the model is optimized, and the precision of the formed model is higher.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a point cloud reconstruction CT Figure 3 Reproducible method. Background technique [0002] In medicine, CT images are widely used as a common detection method, but their shortcomings in intuitive visualization have also been revealed in long-term use. Therefore, some measures need to be taken to solve this problem, and the most effective method is to Its restoration is a three-dimensional model, which is called a three-dimensional reproduction. SUMMARY OF THE INVENTION [0003] The invention provides a point cloud reconstruction CT Figure 3 The 3D reconstruction method solves the problem of poor accuracy and difficult visualization of CT images after 3D reconstruction. [0004] In order to achieve the above purpose, the present invention provides the following technical solutions: a point cloud reconstruction CT Figure 3 Methods of dimensional reproduction...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20G06T3/00G06T5/00G06T5/20G06N3/04
CPCG06T17/20G06T5/20G06T2207/10028G06T2207/10081G06T2207/20084G06N3/045G06T3/04G06T5/70
Inventor 郁佳佳孙峻薪
Owner SOUTHEAST UNIV CHENGXIAN COLLEGE
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