• DocumentCode
    1857562
  • Title

    Spine Localization and Vertebral Mobility Analysis Using Faces Contours Detection

  • Author

    Benjelloun, M. ; Mahmoudi, S.

  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    6557
  • Lastpage
    6560
  • Abstract
    This paper describes a new segmentation approach for detecting the location and the orientation of the cervical vertebrae in medical X-ray images. A first pre-processing step consists on determining a global polygonal region for each vertebra. After this, we propose a new approach of vertebrae localization based on the four faces detection of each vertebra contour. A specific goal of the proposed application is to create an efficient semi-automated method of identifying the overall angle of curvature of the spine and the angles between vertebrae. The final goal is to determine the motion of the vertebrae induced by their movement between two or several positions.
  • Keywords
    biomechanics; diagnostic radiography; edge detection; image segmentation; medical image processing; cervical vertebral mobility analysis; faces contours detection; global polygonal region; image segmentation; medical X-ray images; pre-processing step; semiautomated method; spine localization; vertebrae location detection; vertebrae orientation detection; Active appearance model; Biomedical imaging; Face detection; Image analysis; Image segmentation; Shape; Spine; X-ray detection; X-ray detectors; X-ray imaging; Faces Contours Detection; Regions vertebrae selection; Template Matching; Vertebral Mobility analysis; Cervical Vertebrae; Movement; Radiographic Image Interpretation, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353862
  • Filename
    4353862