A method and device for reconstructing orthopedic case images

By using edge detection and pixel enhancement technologies, the contours of bones and lesions in orthopedic case images are identified and rendered, solving the problem of rapid identification of fracture lesions in existing technologies and improving diagnostic efficiency.

CN121304677BActive Publication Date: 2026-05-26GUANGZHOU UNIVERSITY OF CHINESE MEDICINE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGZHOU UNIVERSITY OF CHINESE MEDICINE
Filing Date
2025-12-12
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In existing technologies, fracture lesions appear as very fine transparent or dense lines in images, requiring doctors to repeatedly review the images to determine the actual condition of the lesion. This is especially true for less experienced doctors, increasing the time required for diagnosis and treatment and affecting diagnostic efficiency.

Method used

By acquiring orthopedic case images and diagnostic needs information, edge detection algorithms are used to identify the contours of bones and lesions, extract tissue feature parameters, determine contour color and brightness values ​​based on the severity of the lesions, render and perform pixel enhancement processing to highlight the lesion area.

Benefits of technology

It enables a rapid and intuitive determination of the actual condition of lesions, reduces the need for doctors to review images multiple times, and improves the efficiency of diagnosis and research.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a method and apparatus for reconstructing orthopedic case images. The method, after determining that the skeleton in the orthopedic case image meets the reconstruction requirements based on diagnostic needs information, uses an edge detection algorithm to identify the contours of the skeletal tissue and lesion tissue in the orthopedic case image and extracts the image to obtain a tissue contour image. Based on the tissue feature parameters of the skeletal tissue within the tissue contour image, the severity of the lesion features is determined, and the tissue contour image is rendered according to the severity of the lesion features to obtain a tissue rendering image. Finally, grayscale parameters are obtained from the tissue rendering image, and pixel enhancement processing is performed on the tissue in the tissue rendering image to obtain the orthopedic reconstructed image. This invention determines the severity of lesion features based on the tissue feature parameters of the image and reconstructs the image according to the severity of the lesion features, allowing doctors to intuitively determine the patient's lesion condition based on image color and brightness, thereby improving the doctor's diagnostic efficiency.
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