Hip joint classification method, device and storage medium

By extracting the iliac region from ultrasound images and performing classification, the low efficiency problem of traditional hip joint classification methods is solved, achieving more efficient and accurate hip joint classification.

CN115527065BActive Publication Date: 2025-09-23WUHAN UNITED IMAGING HEALTHCARE CO LTD
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Patent Information

Application Number
CN202211180701.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-27
Publication Date
2025-09-23
Estimated Expiration
2042-09-27

AI Technical Summary

Technical Problem

Traditional hip joint classification methods are inefficient, rely on the doctor's experience, and are not very accurate.

Method used

By extracting the iliac region image of the hip joint from the original ultrasound image and inputting it into the preset active contour model for classification, the analysis of the entire hip joint ultrasound image is reduced. Image processing techniques such as binarization processing, connected domain analysis and preset condition screening are used.

Benefits of technology

It improves the processing efficiency and accuracy of hip joint classification, reduces the dependence on doctor's experience, and ensures the objectivity and accuracy of classification results.

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Abstract

The present application relates to a hip joint classification method, device, and storage medium. The method comprises: obtaining an original ultrasound image of a subject to be tested, extracting an iliac region image corresponding to the hip joint of the subject to be tested from the original ultrasound image, inputting the iliac region image into a preset active contour model for hip joint classification, and obtaining the hip joint type of the subject to be tested; the hip joint classification method provided in the embodiment of the present application is to obtain an iliac region image by segmenting the iliac region from a complete ultrasound image, and then inputting the iliac region image into the active contour model for image analysis, which can greatly improve the processing rate of the active contour model, thereby improving the processing rate of hip joint segmentation, as well as the accuracy of hip joint segmentation, and improving the precision of image processing, thereby comprehensively improving the image processing efficiency of hip joint classification.
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Citation Information

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