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
Link To Document