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

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...

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Publicado en:Journal of Digital Imaging Vol. 35; no. 2; pp. 162 - 173
Autores principales: Duan, Lunhui, Sun, Hao, Liu, Delong, Tan, Yinglun, Guo, Yue, Chen, Jianwen, Ding, Xiaojing
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Apr2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2022
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10278-021-00550-2
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        atl: Automatic Femoral Deformity Analysis Based on the Constrained Local Models and Hough Forest.
      aug:
        au:
          Duan, Lunhui
          Sun, Hao
          Liu, Delong
          Tan, Yinglun
          Guo, Yue
          Chen, Jianwen
          Ding, Xiaojing
        affil: School of Artificial Intelligence and Data Science, Hebei University of Technology, No. 8 Guangrong Road, 300130, Hong Qiao, Tianjin, China
      sug:
        subj:
          Femur Abnormalities
          Models, Theoretical
          Femoral Fractures Diagnosis
          Workload
          X-Rays
          Hip Joint
          Descriptive Statistics
          Human
          Autoanalysis
      ab: 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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