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Automatic Femoral Deformity Analysis Based on the Constrained Local Models and Hough Forest

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Abstract

Clinically, Taylor spatial frame (TSF) is usually used to correct femoral deformity. The first step in correction is to analyze skeletal deformities and measure the center of rotation of angulation (CORA). Since the above work needs to be done manually, the doctor’s workload is heavy. Therefore, an automatic femoral deformity analysis system was proposed. Firstly, the Hough forest and constrained local models were trained on the femur image set. Then, the position and size of the femur in the X-ray image were detected by the trained Hough forest. Furthermore, the position and size were served as the initial values of the trained constrained local models to fit the femoral contour. Finally, the anatomical axis line of the proximal femur and the anatomical axis line of the distal femur could be drawn according to the fitting results. According to these lines, CORA can be found. Compared with manual measurement by doctors, the average error of the hip joint orientation line was 1.7°, the standard deviation was 1.75, the average error of the anatomic axis line of the proximal femur was 2.9°, and the standard deviation was 3.57. The automatic femoral deformity analysis system meets the accuracy requirements of orthopedics and can significantly reduce the workload of doctors.

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Funding

The research work is supported by National Natural Science Fund Project of China (No. 61773151), National Natural Science Fund Project of China (No. 61703135), Hebei Province Natural Science Fund Project (F2018202279), and Key Project of Capital Clinical Application Research(Z181100001718194).

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Authors and Affiliations

  1. School of Artificial Intelligence and Data Science, Hebei University of Technology, No. 8 Guangrong Road, Hong Qiao, Tianjin, 300130, China

    Lunhui Duan, Hao Sun, Delong Liu & Yinglun Tan

  2. Rehabilitation Hospital, National Research Center for Rehabilitation Technical Aids, No. 1 Ronghua Middle Road, Da Xing, Beijing, 100176, China

    Yue Guo & Jianwen Chen

  3. Key Laboratory of Human Motion Analysis and Rehabilitation Technology of the Ministry of Civil Affairs, No. 1 Ronghua Middle Road, Da Xing, Beijing, 100176, China

    Yue Guo & Jianwen Chen

  4. Tianjin Beichen Hospital, No. 7 Beiyi Road, Bei Chen, Tianjin, 300400, China

    Xiaojing Ding

Authors
  1. Lunhui Duan
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  2. Hao Sun
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  3. Delong Liu
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  4. Yinglun Tan
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  5. Yue Guo
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  6. Jianwen Chen
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  7. Xiaojing Ding
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Contributions

Lunhui Duan, Hao Sun, Delong Liu, Yinglun Tan, Yue Guo, Jianwen Chen, and Xiaojing Ding contributed equally to this work.

Corresponding author

Correspondence to Hao Sun.

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Duan, L., Sun, H., Liu, D. et al. Automatic Femoral Deformity Analysis Based on the Constrained Local Models and Hough Forest. J Digit Imaging 35, 162–172 (2022). https://doi.org/10.1007/s10278-021-00550-2

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  • DOI: https://doi.org/10.1007/s10278-021-00550-2

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