Abstract
This study investigates the sources of error for an image-guided surgery system based on electromagnetic tracking. We characterized fiducial localization error (FLE) in both magnetic and image space, modeled error propagation using a Monte Carlo simulation, and estimated system errors for registration schemes with minimal human error. Simulation results indicated that we would obtain much closer fiducial registration if we were to have a system with automatic fiducial localization.
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