• DocumentCode
    2736980
  • Title

    Identification of Lenke Spine Deformity Classification By Simplified 3D Spine Model

  • Author

    Lin, H. ; Sucato, D.

  • Author_Institution
    Department of Research, Texas Scottish Rite Hospital, Dallas, TX, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    3144
  • Lastpage
    3146
  • Abstract
    The 3D Bezier Curve is used to model the simplified 3D human spine for analyzing and classifying the scoliotic deformity. This 3D spine model is based on two orthogonal spinal radiographic images taken from coronal and sagittal planes. Superimposed on these two images, the 3D Bezier curves are fitted interactively onto the center of the spine from coronal and sagittal images. After the 3D Bezier Curve fitting, a series of simplified 3D vertebrae are implemented onto the 3D Bezier Curve proportional in size to its axis. The Lenke Classification system is applied to this 3D spine model. In order to identify the Lenke Classification for each individual spine model, the left side bending and right side bending images are added. Bending the 3D spine model interactively to the left and right determines the stiffness of the spinal deformity and whether the curves are structural. Thus the Lenke Classification could be determined.
  • Keywords
    Bezier curve; Lenke classification; scoliosis; spine deformity; Curve fitting; Deformable models; Education; Hospitals; Humans; Orthopedic surgery; Pattern analysis; Predictive models; Radiography; Spine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403887
  • Filename
    1403887