• DocumentCode
    716732
  • Title

    Multimodal noncontact tracking of surgical instruments

  • Author

    Bracken, Tara A. ; Naish, Michael D.

  • Author_Institution
    Dept. of Mech. & Mater. Eng., Western Univ., London, ON, Canada
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    4729
  • Lastpage
    4735
  • Abstract
    This paper describes the development and validation of the Inertial and Range-Enhanced Surgical (IRES) tracker-a novel, noncontact laparoscopic tracking system that may be used as an inexpensive alternative to optical and electromagnetic (EM) tracking systems for tracking surgical instruments. The system is based on the fusion of inertial, magnetic and distance sensing to generate real-time, 6-DOF pose data. Orientation is estimated using a Kalman-filtered attitude-heading reference system (AHRS) and restricted motion at the trocar provides a datum from which position information can be recovered. The IRES tracker was validated within a surgical training box. The results show that the IRES tracker achieves similar performance to an EM tracker with position error as low as 1.25 mm RMS and orientation error <;0.58° RMS along each axis. It also displayed greater precision and superior magnetic interference rejection capabilities. At a fraction of the cost of current laparoscopic tracking methods, the IRES tracking system is a suitable alternative for use in surgical training and skills assessment.
  • Keywords
    Kalman filters; magnetic sensors; signal denoising; surgery; target tracking; 6-DOF pose data; AHRS; IRES tracker; Kalman-filtered attitude-heading reference system; RMS; distance sensing; inertial and range-enhanced surgical tracker; inertial sensing; magnetic interference rejection capabilities; magnetic sensing; multimodal noncontact tracking; noncontact laparoscopic tracking system; orientation error; real-time data; skills assessment; surgical instruments; surgical training; surgical training box; Accuracy; Cameras; Instruments; Laparoscopes; Magnetometers; Sensors; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139856
  • Filename
    7139856