Improved method for point-based tracking

  • Authors:

  • Andrei Danilchenko;Andrew D. Wiles;Ramya Balachandran;J. Michael Fitzpatrick

  • Affiliations:

  • Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN;Northern Digital Inc., Waterloo, ON, Canada and Robarts Research Institute, The University of Western Ontario, London, ON, Canada;Department of Otolaryngology, Vanderbilt University, Nashville, TN;Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN

  • Venue:
  • MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
  • Year:
  • 2010

Quantified Score

Hi-index 0.07

Visualization

Abstract

Image-guided surgery systems have a wide range of applications where the level of accuracy required for each application varies from millimeters to low sub-millimeter range. In systems that use optical tracking, it is typical to use point-based registration without any weighting schemes to determine the pose of the tracked tool with very good accuracy. However, recent advancements in methods to estimate the measurement uncertainty for each tracked marker and the development of an anisotropically weighted point-based registration algorithm have allowed for the optical tracking accuracy to be improved. In this article, we demonstrate a new tracking method that improves the tracking accuracy by 20 - 45% over the traditional tracking methodology.