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

• Published in: Journal of digital imaging 2022-04, Vol.35 (2), p.162-172
• Main Authors: Duan, Lunhui, Sun, Hao, Liu, Delong, Tan, Yinglun, Guo, Yue, Chen, Jianwen, Ding, Xiaojing
• Format: Article
• Language: English
• Subjects: Biomedical materials; Error analysis; Femur; Femur - diagnostic imaging; Forests; Hip Joint; Humans; Imaging; Medical diagnosis; Medicine; Medicine & Public Health; Original Paper; Orthopedics; Physicians; Radiology; Standard deviation; Working conditions; Workload; Workloads
• ISSN: 0897-1889; 1618-727X
• DOI: 10.1007/s10278-021-00550-2

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.