• DocumentCode
    3273921
  • Title

    Automatic measurement on CT images for patella dislocation diagnosis

  • Author

    Qi Kong ; Shaoshan Wang ; Jiushan Yang ; Ruiqi Zou ; Yan Huang ; Yilong Yin ; Jingliang Peng

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    1130
  • Lastpage
    1134
  • Abstract
    To diagnose the patella dislocation, various angles and distances need to be measured on knee CT images, which was traditionally done by doctors manually. In this work, we propose a novel scheme for automatic measurement on knee CT images to assist doctors diagnosis of patella dislocation. Specifically, we first segment the femur and the patella regions on the CT images, then adopt optimal fitting to obtain the central planes of the femur and the patella bones and, based on which, make the measurement. As experimentally demonstrated, the measured results obtained with our system are highly consistent with those manually made by experienced doctors.
  • Keywords
    bone; computerised tomography; image segmentation; medical image processing; patient diagnosis; automatic measurement; femur segmentation; knee CT images; optimal fitting; patella bones; patella dislocation diagnosis; patella region; Active contours; Bones; Computed tomography; Image segmentation; Knee; Manuals; Medical services; CT image; Image segmentation; patella dislocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738233
  • Filename
    6738233