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Published on: February 10, 2026
[Application of image processing technique in scoliosis detection]
Donghui Lu1, Chaojing Xu, Jinai Sun
1School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China. dhlu@shu.edu.cn
Summary
Image processing offers superior scoliosis detection compared to traditional X-rays. Techniques using moiré patterns and 3D reconstruction analyze back asymmetry to assess spinal curvature (Cobb angle).
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Orthopedics
Background:
- Scoliosis is a common spinal curvature affecting teenagers.
- Current diagnosis relies on X-rays to measure the Cobb angle for severity assessment.
Purpose of the Study:
- To highlight the advantages of image processing techniques in scoliosis diagnosis.
- To introduce and analyze novel image processing methods for detecting spinal deformities.
Main Methods:
- Utilizing moiré stripe images to identify asymmetric back deformation patterns correlated with Cobb angles.
- Employing optical imaging methods to reconstruct 3D back surface models for detailed feature extraction and diagnosis.
Main Results:
- Both moiré imaging and 3D reconstruction demonstrated the ability to discriminate back symmetry.
- These methods showed correlation between back asymmetry and Cobb angles, aiding in scoliosis assessment.
Conclusions:
- Image processing techniques offer promising alternatives for scoliosis detection.
- Future developments in these techniques could enhance diagnostic accuracy and patient outcomes.
