Research Repository

See what's under the surface

A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography

Holmes, Niall; Leggett, James; Boto, Elena; Roberts, Gillian; Hill, Ryan M.; Tierney, Tim M.; Shah, Vishal; Barnes, Gareth R.; Brookes, Matthew J.; Bowtell, Richard

Authors

Niall Holmes

Richard Bowtell

James Leggett

Elena Boto elena.boto@nottingham.ac.uk

Gillian Roberts gillian.roberts@nottingham.ac.uk

Ryan M. Hill

Tim M. Tierney

Vishal Shah

Gareth R. Barnes

Matthew J. Brookes matthew.brookes@nottingham.ac.uk

Abstract

Small, commercially-available Optically Pumped Magnetometers (OPMs) can be used to construct a wearable Magnetoencephalography (MEG) system that allows large head movements to be made during recording. The small dynamic range of these sensors however means that movement in the residual static magnetic field found inside typical Magnetically Shielded Rooms (MSR) can saturate the sensor outputs, rendering the data unusable. This problem can be ameliorated by using a set of electromagnetic coils to attenuate the spatially-varying remnant field. Here, an array of bi-planar coils, which produce an open and accessible scanning environment, were designed and constructed. The coils were designed using a harmonic minimisation method previously used for gradient coil design in Magnetic Resonance Imaging (MRI). Six coils were constructed to null

Journal Article Type Article
Publication Date Nov 1, 2018
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1095-9572
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 181
Pages 760-774
DOI https://doi.org/10.1016/j.neuroimage.2018.07.028
Publisher URL https://www.sciencedirect.com/science/article/pii/S1053811918306438
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
Additional Information

Composition Type:

Files

A bi-planar coil system for nulling background magnetic fields (3.8 Mb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0




Downloadable Citations