• DocumentCode
    2346465
  • Title

    Active Contour Model with Shape Constraints for Bone Fracture Detection

  • Author

    Jia, Y. ; Jiang, Y.

  • Author_Institution
    Dept. of Comput. Sci., Ryerson Univ., Toronto, Ont.
  • fYear
    2006
  • fDate
    26-28 July 2006
  • Firstpage
    90
  • Lastpage
    95
  • Abstract
    This paper presents a segmentation method that outlines fractured bones in an X-ray image of a patient´s arm within casting materials, and displays the alignment between the fractured bones. This segmentation task is often difficult because the casting materials cause a low contrast and high noise ratio in the X-ray images. A geodesic active contour model with global constraints is applied to this task. A prior shape is collected and used as a global constraint of our model. A maximum-likelihood function is derived to provide feedback for each evolving process. Experimental results show that the method produces the outlines of the fractured bones on the low contrast X-ray images robustly and accurately
  • Keywords
    X-ray imaging; bone; computer vision; image segmentation; maximum likelihood detection; medical image processing; X-ray image segmentation; bone fracture detection; casting material; geodesic active contour model; maximum-likelihood function; shape constraint; Active contours; Active shape model; Bones; Casting; Displays; Image segmentation; Maximum likelihood detection; Noise shaping; Signal to noise ratio; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualisation, 2006 International Conference on
  • Conference_Location
    Sydney, Qld.
  • Print_ISBN
    0-7695-2606-3
  • Type

    conf

  • DOI
    10.1109/CGIV.2006.16
  • Filename
    1663773