• DocumentCode
    814561
  • Title

    Intra-Operative Visualizations: Perceptual Fidelity and Human Factors

  • Author

    Stoyanov, Danail ; Mylonas, George P. ; Lerotic, Mirna ; Chung, Adrian J. ; Yang, Guang-Zhong

  • Author_Institution
    Inst. of Biomed. Eng., Imperial Coll. London, London
  • Volume
    4
  • Issue
    4
  • fYear
    2008
  • Firstpage
    491
  • Lastpage
    501
  • Abstract
    With increasing capability and complexity of surgical interventions, intra-operative visualization is becoming an important part of a surgical environment. This paper reviews some of our recent progress in the intelligent use of pre- and intra-operative data for enhanced surgical navigation and motion compensated visualization. High fidelity augmented reality (AR) with enhanced 3D depth perception is proposed to provide effective surgical guidance. To cater for large scale tissue deformation, real-time depth recovery based on stereo disparity and eye gaze tracking is introduced. This allows the development of motion compensated visualization for improved visual perception and for facilitating motion adaptive AR displays. The discussion of the paper is focused on how to ensure perceptual fidelity of AR and the need for real-time tissue deformation recovery and modeling, as well as the importance of incorporating human perceptual factors in surgical displays.
  • Keywords
    augmented reality; biological tissues; display instrumentation; medical image processing; medical robotics; motion compensation; surgery; virtual instrumentation; visual perception; augmented reality; enhanced 3D depth perception; eye gaze tracking; human perceptual factors; intra-operative visualization; motion adaptive AR display; motion compensated visualization; perceptual fidelity; robotic surgery; stereo disparity; surgical displays; surgical guidance; surgical navigation; tissue deformation; visual perception; Augmented reality (AR); motion compensation; robotic surgery;
  • fLanguage
    English
  • Journal_Title
    Display Technology, Journal of
  • Publisher
    ieee
  • ISSN
    1551-319X
  • Type

    jour

  • DOI
    10.1109/JDT.2008.926497
  • Filename
    4578605