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Direct volume rendering method for abstracting features of medical volume data

A volume data and volume rendering technology, applied in image data processing, 3D image processing, instruments, etc., can solve problems such as 3D data occlusion, time-consuming adjustment, and difficult transfer function design

Active Publication Date: 2013-10-23
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of difficult transfer function design and time-consuming adjustment in the existing medical image acquisition technology, and solve the occlusion problem between different tissues of 3D data, the present invention provides a 3D data based on feature abstraction with good rapidity, clear features and bright effects. volume rendering method

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  • Direct volume rendering method for abstracting features of medical volume data
  • Direct volume rendering method for abstracting features of medical volume data
  • Direct volume rendering method for abstracting features of medical volume data

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Embodiment Construction

[0037] Attached below Figure 1-5 The present invention is further described.

[0038] The feature-abstract direct volume rendering method proposed by the invention analyzes and extracts features from volume data, calculates the opacity of abstract sampling points, and effectively displays feature information in the volume data. The method mainly includes the following five steps:

[0039] 1) Import medical volume data, such as CT and MRI data. figure 1 Among them, the data import part is implemented by C++ language, the feature abstraction algorithm part is written by GLSL language, and the whole program is implemented on the VC platform. figure 2 In , the steps of the direct volume rendering method of feature abstraction are as follows: first import the volume data, then sample along the light direction, and fit a smooth scalar curve according to the sampling points. The abstract sampling point is determined by finding the maximum gradient modulus value and the maximum s...

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Abstract

The invention relates to a direct volume rendering method for abstracting features of medical volume data, which comprises the following steps of 1, leading in medical volume data; 2, sampling the volume data along the direction of a light ray by utilizing a ray casting algorithm; 3, abstracting extracted feature regions into sampling points and then according to the number of the abstracted sampling points on the light ray, calculating nontransparency of the abstracted sampling points; 4, respectively analyzing a scalar value and gradient information of the sampling point in each feature region, searching the sampling points with the maximum scalar value, using physical positions of the sampling points with the maximum scalar value as physical positions of the abstracted sampling points, using the maximum scalar value as a scalar value of the abstracted sampling points, simultaneously searching the gradient information with the maximum gradient magnitude in the features as a normal vector of the abstracted sampling points and finally, setting colors for the abstracted sampling points and executing local illumination calculation; and 5, fusing the abstracted sampling points to form a final medical image.

Description

technical field [0001] The invention is a direct volume rendering technique for displaying feature information of medical volume data. Background technique [0002] Volume data visualization technology is widely used in numerical simulation in science and engineering, medical disease diagnosis, atmospheric ocean simulation and other fields. In the application of volume data visualization, how to present the obtained data as images with rich details and how to provide users with more intuitive and accurate internal information is crucial. With the continuous development of image hardware and volume data visualization algorithms, the image rendering speed is getting faster and faster, the image accuracy is getting higher and higher, and the rendering styles are also showing diversification. Therefore, this technology is now being used more in life, and it has also received more and more attention from people. [0003] An important method in volume data visualization technolo...

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Application Information

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IPC IPC(8): G06T15/08
Inventor 梁荣华李伟明孙文杰
Owner ZHEJIANG UNIV OF TECH
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