School of Artificial Intelligence and Data Science, Hebei University of Technology, No. 8 Guangrong Road, Hong Qiao, Tianjin, 300130, China.
Rehabilitation Hospital, National Research Center for Rehabilitation Technical Aids, No. 1 Ronghua Middle Road, Da Xing, Beijing, 100176, China.
J Digit Imaging. 2022 Apr;35(2):162-172. doi: 10.1007/s10278-021-00550-2. Epub 2022 Jan 10.
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.
临床上,Taylor 空间框架(TSF)通常用于矫正股骨畸形。矫正的第一步是分析骨骼畸形并测量成角旋转中心(CORA)。由于上述工作需要手动完成,医生的工作量很大。因此,提出了一种自动股骨畸形分析系统。首先,在股骨图像集上训练 Hough 森林和约束局部模型。然后,通过训练的 Hough 森林检测 X 射线图像中股骨的位置和大小。此外,位置和大小被用作训练的约束局部模型的初始值,以拟合股骨轮廓。最后,根据拟合结果绘制近端股骨解剖轴线和远端股骨解剖轴线。根据这些线,可以找到 CORA。与医生的手动测量相比,髋关节定向线的平均误差为 1.7°,标准差为 1.75,近端股骨解剖轴线的平均误差为 2.9°,标准差为 3.57。自动股骨畸形分析系统满足矫形学的精度要求,可以显著减轻医生的工作量。