• DocumentCode
    1742145
  • Title

    Toward application of image tracking in laparoscopic surgery

  • Author

    Zhang, Xiaoli ; Payandeh, Shahram

  • Author_Institution
    Exp. Robotics Lab., Simon Fraser Univ., Burnaby, BC, Canada
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    364
  • Abstract
    In the past few years, the application of image tracking in laparoscopic surgery has gained popularity. In such an approach, the robot controls the movement of the laparoscope (endoscope) in surgery by following the feedback of the image tracking information. The calibration of the distorted endoscopic images is an important first step toward realizing such an approach. However, there exist very few methods for such calibration. In the paper, a new method of calibration and measurement of the endoscopic images is proposed. The high distortion of the endoscopic images makes the calibration difficult. Endoscopic images have typical barrel distortion. That is, the distortion increases as the observation becomes more and more eccentric. We propose an idea that only concentrates on the center area of the image. Within this area, we can ignore the complex and time-consuming distortion-correction step. A simple method for finding the intrinsic calibration parameters is then proposed. Design of a marker for the tracking task is also described. Some experimental results are presented to show the feasibility of the proposed method
  • Keywords
    medical image processing; medical robotics; position control; robot vision; surgery; barrel distortion; distorted endoscopic images; image tracking; intrinsic calibration parameters; laparoscopic surgery; Calibration; Cameras; Distortion measurement; Endoscopes; Lenses; Minimally invasive surgery; Robot control; Robot vision systems; Robotics and automation; Surges;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.902934
  • Filename
    902934