• DocumentCode
    1768841
  • Title

    Attitude tracking using an integrated inertial and optical navigation system for hand-held surgical instruments

  • Author

    Hyun-Min Oh ; Min-Young Kim

  • Author_Institution
    Electron. Eng., Kyungpook Nat. Univ., Daegu, South Korea
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    Navigation devices are essential components for Image Guided Surgeries(IGS). The optical navigation system has been widely used to guide surgical tools in image-based navigation surgery due to its easy usage and high accuracy. However, optical tracking becomes frequently blind when its line-of-sight between the cameras and the optical markers is occluded. In this paper, a sensor fusion system with inertial navigation and optical navigation systems is proposed to estimate the attitude of surgical tools with markers in spite of optical occlusion situations. Specially, sensor fusion algorithms based on Extended Kalman Filter and sensor calibration algorithms are proposed. To resolve an axis alignment problem between optical tracker and IMU sensor, a coordinate axis calibration method are presented. A series of experimental results shows its effectiveness under optical occlusion.
  • Keywords
    Kalman filters; image fusion; image sensors; inertial navigation; medical image processing; surgery; IGS; IMU sensor; attitude estimation; attitude tracking; coordinate axis calibration method; extended Kalman filter; hand-held surgical instruments; image guided surgery; image-based navigation surgery; inertial navigation system; optical navigation system; optical occlusion; sensor calibration algorithm; sensor fusion system; Calibration; Robot sensing systems; Surgery; Image-guided Navigation Surgery; Inertial Navigation System; Kalman Filter; Optical Navigation System; Sensor Fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6988005
  • Filename
    6988005