A hip joint ultrasound image analysis method, device, equipment and medium based on blind scanning

By using a blind scan method to analyze hip joint ultrasound images, and employing a cross-sectional classification branch network and a YOLOv11 network to automatically select standard coronal sections, the problem of low accuracy in hip joint development data has been solved, enabling primary care physicians to conduct rapid and accurate hip joint development examinations.

CN122156047APending Publication Date: 2026-06-05SHENZHEN CHILDRENS HOSPITAL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN CHILDRENS HOSPITAL
Filing Date
2026-01-14
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In the current technology, ultrasound image analysis methods for hip dysplasia rely on the doctor's experience, resulting in low accuracy of hip development data.

Method used

A blind scanning-based method for analyzing hip joint ultrasound images was adopted. Video streams of the hip joint were acquired using a linear array probe. Key structures were identified using a cross-sectional classification branch network and a YOLOv11 network. Ultrasound images conforming to standard coronal sections were automatically selected, and hip joint development data were extracted.

Benefits of technology

It improves the accuracy of hip development data, reduces reliance on doctors' experience, and enables primary care physicians to perform hip development examinations quickly and accurately.

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Abstract

The present application relates to the technical field of ultrasound image analysis, in particular to a hip joint ultrasound image analysis method, device, equipment and medium based on blind scanning. The present application first classifies each frame of ultrasound image to preliminarily and roughly determine whether the standard coronal section of the hip joint is collected in the ultrasound image, and then further determines whether the standard coronal section of the hip joint is collected in the ultrasound image by detecting the key structure on the ultrasound image. Then, based on the judgment result and the detection result corresponding to each frame of ultrasound image, the target ultrasound image is screened out from each frame of image, which is the ultrasound image recording the standard coronal section of the hip joint. Finally, the development data of the hip joint is obtained according to the target ultrasound image. The present application replaces the subjective screening of the ultrasound image where the standard coronal section of the hip joint by the doctor with the classification method and the detection method, so that the target ultrasound image screened out is closer to the standard coronal section of the hip joint, and finally the accuracy of the development data of the hip joint obtained based on the target ultrasound image is improved.
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