• DocumentCode
    456999
  • Title

    Vertebra Edge Detection Using Polar Signature

  • Author

    Benjelloun, M. ; Tellez, H. ; Mahmoudi, S.

  • Author_Institution
    Dept. of Comput. Sci., Faculte Polytechnique de Mons
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    In this paper we propose a new method of vertebrae segmentation in medical images. X-ray images of the spinal columns are analysed in order to extract a closed contour for each vertebra. To achieve this goal, we proceed by steps: the starting one is a segmentation approach based on the selection of each vertebra region. We use these regions information to identify each individual vertebra by its contour. For this task, we propose a polar signature representation of the contour using the image gradient of each region. Lastly, an edge closing method exploiting polynomial fitting is used. We use the resulting extracted contours to determine vertebral mobility. For this, we proceed by the extraction of some parameters characterizing each vertebra, related to their form, position and orientation
  • Keywords
    X-ray imaging; bone; computational complexity; edge detection; feature extraction; image segmentation; medical image processing; X-ray images; contour extraction; edge closing method; image gradient; medical images; polar signature representation; polynomial fitting; spinal columns; vertebra edge detection; vertebrae image segmentation; Biomedical engineering; Biomedical imaging; Computer science; Data mining; Image edge detection; Image segmentation; Polynomials; Shape; Spine; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.1167
  • Filename
    1698935