• Title of article

    Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis

  • Author/Authors

    Sun, Limin School of Software - Shandong University - Jinan - Shandong, China , Kong, Qi State Grid Anhui Electric Power Company - Hefei - Anhui, China , Huang, Yan School of Software - Shandong University - Jinan - Shandong, China , Yang, Jiushan First Affiliated Hospital of Shandong University of Traditional Chinese Medicine - Jinan - Shandong, China , Wang, Shaoshan First Affiliated Hospital of Shandong University of Traditional Chinese Medicine - Jinan - Shandong, China , Zou, Ruiqi First Affiliated Hospital of Shandong University of Traditional Chinese Medicine - Jinan - Shandong, China , Yin, Yilong School of Software - Shandong University - Jinan - Shandong, China , Peng, Jingliang School of Software - Shandong University - Jinan - Shandong, China

  • Pages
    12
  • From page
    1
  • To page
    12
  • Abstract
    Traditionally, for diagnosing patellar dislocation, clinicians make manual geometric measurements on computerized tomography (CT) images taken in the knee area, which is often complex and error-prone. Therefore, we develop a prototype CAD system for automatic measurement and diagnosis. We firstly segment the patella and the femur regions on the CT images and then measure two geometric quantities, patellar tilt angle (PTA), and patellar lateral shift (PLS) automatically on the segmentation results, which are finally used to assist in diagnoses. The proposed quantities are proved valid and the proposed algorithms are proved effective by experiments.
  • Keywords
    Tomography , CT , 3D , Automatic
  • Journal title
    Computational and Mathematical Methods in Medicine
  • Serial Year
    2020
  • Record number

    2614626