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Organ image constructing method and system based on voxel model

A voxel model and construction method technology, applied in the field of organ images, can solve the problems of inaccurate display results, less information in cross-sectional images, and high cost of consumables, and achieve the effects of easy understanding, improving diagnostic efficiency, and reducing the number of images.

Pending Publication Date: 2019-11-05
SHANGHAI CHILDRENS MEDICAL CENT AFFILIATED TO SHANGHAI JIAOTONG UNIV SCHOOL OF MEDICINE
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, this method requires the use of a large number of CT slices, high cost of consumables, and less information in the output cross-sectional images. Doctors need to combine certain spatial imagination to infer the pathological changes of organs.
And once the image is generated and made into a CT film, it cannot be changed
At the same time, in the process of CT image generation, all information such as bones, blood vessels, and muscles are put into the image without screening, and the displayed results are inaccurate

Method used

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  • Organ image constructing method and system based on voxel model
  • Organ image constructing method and system based on voxel model
  • Organ image constructing method and system based on voxel model

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Embodiment 1

[0034] A method for constructing organ images based on voxel models, such as figure 1 and figure 2 As shown, including: S1: Model rendering: S1.1: Obtain the patient’s organ model; S1.2: Obtain voxel information according to the organ model, and the voxel information includes the density function ρ(p ), visibility function α(p), density gradient function and the virtual space position to obtain the voxel model; S2: model rasterization: S2.1: calculate the cumulative visible density S(τ) of each pixel on the near plane of the viewing cone in the virtual space where the voxel model is located; S2. 2: Calculate the color S' of each pixel on the near plane; S2.3: Acquire the near plane image as the organ image.

[0035] In a preferred embodiment, the organ model is a CT model, and the density function of voxels is: Among them, g p is the gray level of voxel P in the CT model; the visibility function α(p)=1.

[0036] The definition of a voxel is: in the virtual space, the v...

Embodiment 2

[0054] In a preferred embodiment, a method for constructing an organ image based on a voxel model is different from Example 1, such as figure 2 and Figure 5 As shown, it also includes S1.2.0: S1.2.0: Obtain the ρ(p) and α(p) conditions that need to be met for the voxels used for display; the voxels that ρ(p) and α(p) satisfy the conditions form a set U; In S1.2, a ray is made from the observation point in the virtual space to the pixel point, and the ray passes through n voxels p of the voxel model from near to far i (i=1,2,3...n); k(0n The original visibility function V n for: Voxel p after conditional screening n The final visibility V n 'for: In , the calculation method of cumulative visible density S(τ) is:

[0055] The colors and densities of voxels corresponding to tissues such as muscles, bones, and skin are quite different, and voxels with the same or similar densities correspond to different types of tissues. Doctors can select the displayed voxels throug...

Embodiment 3

[0062] In a preferred embodiment, a method for constructing an organ image based on a voxel model, such as figure 2 and Figure 10 As shown, the difference from Embodiments 1 and 2 is that S1.2.0 is also included: S1.2.0: Obtain the information of the virtual plane S, including the point P that the virtual plane S passes through S , the normal vector is N S ; In S1.2, a ray is made from the observation point in the virtual space to the pixel point, and the ray passes through n voxels p of the voxel model from near to far i (i=1,2,3...n); for voxel p, k (0n The raw visibility function V of n for: The final visibility Vn' of voxel pn after condition filtering is: In S2.1, the calculation method of cumulative visible density S(τ) is:

[0063] Such as Figure 11 As shown in , the virtual plane is the section, and the voxel points located on the other side of the normal vector direction of the plane are displayed to realize the display of the model section.

[0064] The...

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Abstract

The invention provides an organ image constructing method and system based on a voxel model. The method and system are used for solving the technical problems that in the prior art, the CT cost is high, image reading is difficult, and information cannot be screened in advance. The organ image constructing method based on the voxel model comprises the steps of S1 model rendering and S2 model rasterization. The organ image constructing system based on the voxel model comprises an original model module, an image processing module and a display module; by implementing the technical scheme, more information is displayed by images, the number of images needed by diagnosis is reduced, meanwhile, direct display can be achieved through a displayer, and the cost is greatly lowered; a doctor can seethe perspective drawing of an organ from multiple angles, understanding is easy, and the diagnosis efficiency is improved; the displayed voxel type can be selected, the system can supply various imagetypes, and the diagnosis accuracy is improved.

Description

technical field [0001] The present invention relates to the field of organ images, in particular to a method and system for constructing organ images based on a voxel model. Background technique [0002] As a method of generating organ images, CT is widely used in the diagnosis of various diseases. The principle of CT is mainly to emit X-rays to the human body from multiple angles, and calculate the absorbance of X-rays at different positions of the detected parts of the human body through the attenuation degree of X-rays at each angle, and convert it into gray scale, and use the cross-sectional view The gray-scale image of the organ is output in the form of a doctor for reference. [0003] However, this method requires the use of a large number of CT slices, high cost of consumables, and less information in the output cross-sectional images. Doctors need to combine certain spatial imagination to infer the pathological changes of organs. And once the image is generated and...

Claims

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Application Information

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IPC IPC(8): G16H30/20G06T15/00G06F3/01A61B6/03
CPCA61B6/032A61B6/5211G06F3/011G06T15/005G16H30/20
Inventor 刘锦纷刘金龙孙彦隽钟玉敏胡立伟仝志荣沈娟亚
Owner SHANGHAI CHILDRENS MEDICAL CENT AFFILIATED TO SHANGHAI JIAOTONG UNIV SCHOOL OF MEDICINE
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