• DocumentCode
    3519529
  • Title

    Automating the Extraction of 3D Models from Medical Images for Virtual Reality and Haptic Simulations

  • Author

    Rizzi, Silvio H. ; Banerjee, P. Pat ; Luciano, Cristian J.

  • Author_Institution
    Univ. of Illinois, Chicago
  • fYear
    2007
  • fDate
    22-25 Sept. 2007
  • Firstpage
    152
  • Lastpage
    157
  • Abstract
    The Sensimmer platform represents our ongoing research on simultaneous haptics and graphics rendering of 3D models. For simulation of medical and surgical procedures using Sensimmer, 3D models must be obtained from medical imaging data, such as Magnetic Resonance Imaging (MRI) or Computed Tomography (CT). Image segmentation techniques are used to determine the anatomies of interest from the images. 3D models are obtained from segmentation and their triangle reduction is required for graphics and haptics rendering. This paper focuses on creating an integrated interface between Sensimmer and medical imaging devices, using available software. Existing tools are evaluated, as well as aspects that require further development are identified. Solutions to overcome limitations and increase the degree of automation of the process are examined.
  • Keywords
    feature extraction; haptic interfaces; image segmentation; medical image processing; rendering (computer graphics); virtual reality; 3D model extraction; Sensimmer platform; graphics rendering; haptic simulation; image segmentation techniques; medical imaging devices; virtual reality; Biomedical imaging; Computational modeling; Computed tomography; Graphics; Haptic interfaces; Image segmentation; Magnetic resonance imaging; Medical simulation; Rendering (computer graphics); Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    978-1-4244-1154-2
  • Electronic_ISBN
    978-1-4244-1154-2
  • Type

    conf

  • DOI
    10.1109/COASE.2007.4341748
  • Filename
    4341748