Differential curvature-based liver surface smoothness measuring method

A measurement method and smoothness technology, applied in the field of liver surface smoothness measurement, to achieve the effect of improving the accuracy of contour segmentation

Pending Publication Date: 2021-10-08
SHAANXI UNIV OF SCI & TECH
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Problems solved by technology

[0008] The present invention proposes a method for measuring liver surface smoothness based on differential curvature, which solves the problem of objectively evaluating liver function without quantitative indicators

Method used

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  • Differential curvature-based liver surface smoothness measuring method
  • Differential curvature-based liver surface smoothness measuring method
  • Differential curvature-based liver surface smoothness measuring method

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Embodiment Construction

[0040] attached figure 1 It is a logic flow chart of the measurement method of the present invention, with figure 2 It is a structural diagram of the segmentation network of the present invention, with image 3 is the schematic diagram of liver smoothness calculation in the present invention, with Figure 4 It is the flow chart of liver smoothness calculation in the present invention.

[0041] Aiming at the problems of inaccurate liver segmentation and no quantifiable indicators for liver surface smoothness in clinical practice, the present invention provides a method for measuring liver surface smoothness based on differential curvature, which is specifically described as follows:

[0042] (1) Image preprocessing: Acquire abdominal CT images, use W / L window adjustment algorithm to preprocess abdominal CT images, enhance the contrast between liver organs and other tissues, and the image resolution is 512*512. The specific algorithm steps are as follows:

[0043] (a) First,...

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Abstract

The invention discloses a differential curvature-based liver surface smoothness measuring method, and mainly relates to a digital image processing technology. According to the technical scheme, the method comprises the following steps: (1) preprocessing a liver CT image by using a medical image window modulation algorithm to enhance the contrast of an abdominal liver area; (2) obtaining a segmentation result of the liver by using a deep network model; (3) obtaining the contour of the liver segmentation result by using an edge detection algorithm; (4) selecting a to-be-evaluated liver area by utilizing man-machine interaction to obtain a to-be-evaluated liver profile curve; and (5) measuring the smoothness of the liver shape by utilizing curvature calculation of the curve. The invention effectively quantifies the smoothness of the liver surface, achieves the accurate and objective measurement of the smoothness of the liver contour, and further assists a doctor in the quantitative evaluation of the liver function.

Description

technical field [0001] The invention belongs to the field of medical image analysis, and specifically provides a method for measuring the smoothness of liver surface based on differential curvature. Background technique [0002] Liver lesions are sudden and have a high incidence. Currently, the incidence and mortality of liver cancer in China rank first in the world. Therefore, liver cancer is a serious threat to the life and health of our people. The analysis of abdominal medical images is the most effective and direct means of adjuvant treatment for liver diseases, and comprehensive medical image analysis is of great value to the treatment and prognosis of patients. There are usually several important indicators for evaluating liver function in patients with abdominal CT images, mainly involving liver volume, tumor volume, ratio of liver to spleen, and smoothness of liver. The image segmentation technology can be used to segment the liver, spleen, and liver tumors, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T7/181
CPCG06T7/0012G06T7/13G06T7/181G06T7/12G06T2207/30056
Inventor 张栋雷涛孙瑞陈琦王兴武张月杜晓刚
Owner SHAANXI UNIV OF SCI & TECH
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