• DocumentCode
    3238872
  • Title

    Image segmentation using MRI vertebral cross-sections

  • Author

    Booth, Simon ; Clausi, David A.

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1303
  • Abstract
    Computer assisted spinal surgery requires the development of a 3-D image of a patient´s spine. A method is being developed to construct such a 3-D spinal image from axial MRI cross-sections, using a deformable template. This paper outlines techniques used to register the model with the patient data. First an algorithm based on symmetry of the anatomy is developed to determine the position and orientation of the vertebrae in each cross-section. Second, an active contour is used for segmentation of the spinal cord. Last, a novel edge detection scheme is developed to identify the low contrast edges of the vertebral body in each cross-section
  • Keywords
    biomedical MRI; edge detection; image segmentation; medical image processing; orthopaedics; surgery; 3D image; 3D spinal image; MRI vertebral cross-sections; algorithm; anatomy symmetry; axial MRI cross-sections; computer assisted spinal surgery; deformable template; edge detection; image segmentation; low contrast edges identification; orthopedic surgery; patient data; patient spine; scale estimation; spinal cord segmentation; vertebrae orientation; vertebrae position; vertebral body; Active contours; Bones; Computed tomography; Image edge detection; Image segmentation; Magnetic resonance imaging; Spinal cord; Spine; Surgery; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2001. Canadian Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-6715-4
  • Type

    conf

  • DOI
    10.1109/CCECE.2001.933633
  • Filename
    933633