Improved Method for Point-Based Tracking

摘要：

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.

作者: Andrei Danilchenko Andrew D.Wiles Ramya Balachandran J.Michael Fitzpatrick

作者单位: Department of Electrical Engineering and Computer Science, Vanderbilt University,Nashville, TN, USA Northern Digital Inc., Waterloo, ON, Canada Robarts Research Institute, The University of Western On Department of Otolaryngology, Vanderbilt University, Nashville, TN, USA Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 587–594

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）