• DocumentCode
    1680450
  • Title

    Image-guided endoscopy for lung-cancer assessment

  • Author

    Helferty, J.P. ; Sherbondy, A.J. ; Kiraly, A.P. ; Turlington, J.Z. ; Hoffman, E.A. ; McLennan, G. ; Higgins, W.E.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    2
  • fYear
    2001
  • Firstpage
    307
  • Abstract
    A system for virtual-endoscopic 3D medical image assessment and follow-on live endoscopy is described. The development and results focus on 3D CT images of the chest and lung-cancer assessment. Two stages are involved in the assessment. In Stage-1, the physician uses a series of tools for visualization and 3D central-axes analysis to build a guidance plan (a "case study"). Next, during Stage-2 endoscopy, the physician links the computer system and case study to the endoscope. The endoscopic video is registered to 3D virtual image data to give the physician "augmented reality" information to better perform the endoscopy. Results illustrate the system\´s utility for animal and human cases
  • Keywords
    augmented reality; cancer; computerised tomography; data visualisation; image registration; lung; medical image processing; video signal processing; 3D medical image; 3D virtual image data; CT images; augmented reality; central axes analysis; chest; endoscopic video registration; follow-on live endoscopy; guidance plan; image-guided endoscopy; lung-cancer assessment; virtual-endoscopic assessment; visualization; Biopsy; Cancer; Computed tomography; Endoscopes; Hardware; Image processing; Lungs; Lymph nodes; Minimally invasive surgery; Needles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958489
  • Filename
    958489