On fiducial target registration error in the presence of anisotropic noise

TitleOn fiducial target registration error in the presence of anisotropic noise
Publication TypeJournal Article
Year of Publication2007
AuthorsMa, B., M. H. Moghari, R. E. Ellis, and P. Abolmaesumi
JournalMed Image Comput Comput Assist Interv
Volume10
Pagination628-35
Abstract

We study the effect of anisotropic noise on target registration error (TRE) by using a tracked and calibrated stylus tip as the fiducial registration application. We present a simple, efficient unscented Kalman filter algorithm that is suitable for fiducial registration even with a small number of fiducials. We also derive an equation that predicts TRE under anisotropic noise. The predicted TRE values are shown to closely match the simulated TRE values achieved using our UKF-based algorithm.

a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2020 The University of British Columbia