• DocumentCode
    1566453
  • Title

    Vertebrae EDGE Detection and Motion Estimation with Polar Signature

  • Author

    Benjelloun, Mohammed ; Mahmoudi, Shadi ; Tellez, H.

  • Author_Institution
    Comput. Sci. Dept., Fac. of Eng., Mons, Belgium
  • fYear
    2006
  • Firstpage
    761
  • Lastpage
    764
  • Abstract
    This paper describes a new method of segmentation and identification of individual vertebrae in medical images. The final goal of the application is to determine vertebrae motion induced by their movement between two or several positions. For that, X-ray images of the spinal columns are analysed in order to extract vertebrae contours. We present a new image segmentation approach based on a preliminary selection of vertebrae regions. We use these regions information to identify each individual vertebra by its contour. For the edge detection task, we propose a polar signature representation of the contour using the image gradient of each region. After this, we apply an edge closing method exploiting polynomial fitting.
  • Keywords
    X-ray imaging; bone; edge detection; feature extraction; image representation; image segmentation; medical image processing; motion estimation; polynomials; X-ray image; contour extraction; image gradient; image segmentation; medical image; motion estimation; polar signature representation; polynomial fitting; spinal column; vertebrae edge detection; Biomedical imaging; Biomedical measurements; Data mining; Image analysis; Image edge detection; Image segmentation; Medical diagnostic imaging; Motion estimation; Spine; X-ray imaging; Biomedical image processing; Image edge analysis; Image motion analysis; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312423
  • Filename
    4106641