Evaluation of MRI-MEG/EEG co-registration strategies using Monte Carlo simulation

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 method...

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Bibliographic Details
Published in:Electroencephalography and clinical neurophysiology 1997-02, Vol.102 (2), p.81-85
Main Authors: Singh, K.D., Holliday, I.E., Furlong, P.L., Harding, G.F.A.
Format: Article
Language:English
Subjects:
Bite-bar
Brain - physiology
Co-registration
Electroencephalography
Humans
Magnetic Resonance Imaging
Magnetoencephalography
Monte Carlo analysis
Monte Carlo Method
MRI
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Summary: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.
ISSN:0013-4694
1872-6380
DOI:10.1016/S0921-884X(96)96570-4