• DocumentCode
    736069
  • Title

    3D reconstruction of spine from partial biplanar radiographic image data

  • Author

    Kumar, Sampath ; Nayak, K.Prabhakar ; Hareesha, K.S.

  • Author_Institution
    Dept. of Electronics and Communication, Manipal Institute of Technology, Manipal, India
  • fYear
    2015
  • fDate
    30-31 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Three-dimensional reconstruction of the human spine is very much essential in diagnosis, planning of surgery and treatment of several spinal deformities. This can be achieved using stereo-radiographic reconstruction technique that uses postereo-anterior (PA) and lateral (LAT) radiographs. Here, an uncalibrated approach is proposed in which a generic spine model is deformed according to the partial data available in these radiographs. The angle at which each vertebra oriented is automatically extracted from the biplanar radiographs. The generic model is first aligned along the spine midline and each vertebra is rotated according to the angles obtained from the PA and LAT radiographs. The projection of this 3D model is taken in frontal and lateral planes and orientation of each vertebra is compared with that of the radiographs. The difference between the angles is minimized by suitable vertebral rotations until it becomes negligible. The model is validated by comparing angle measurements and back projection of the 3D model onto the radiographs. The result obtained is superior by the fact that radiographs are uncalibrated and has minimum human intervention. The model gives a better visualization of the -deformity of the human spine without involving specialized equipment.
  • Keywords
    Deformable models; Diagnostic radiography; Image edge detection; Image reconstruction; Solid modeling; Three-dimensional displays; 3D spine reconstruction; generic spine model; stereo-radiography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICoBE), 2015 2nd International Conference on
  • Conference_Location
    Penang, Malaysia
  • Type

    conf

  • DOI
    10.1109/ICoBE.2015.7235127
  • Filename
    7235127