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Evaluation of MRI-MEG/EEG co-registration strategies using Monte Carlo simulation
K D Singh1, I E Holliday, P L Furlong
1Department of Vision Sciences, Aston University, Aston Triangle, Birmingham, UK. k.singh@rhbnc.ac.uk
Electroencephalography and Clinical Neurophysiology
|February 1, 1997
Abstract:
We present a Monte Carlo analysis method for evaluating MRI-MEG/EEG co-registration techniques. The method estimates the error in co-registration as a function of position within the brain. Using this analysis technique, we demonstrate the limitations of conventional head-based fiducial point methods, and propose a new strategy utilising a dental bite-bar incorporating accurately machined fiducial markers. Results presented demonstrate the improved accuracy of MEG/EEG to MRI co-registration using the bite-bar.