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Cross-Axis projection error in optically pumped magnetometers and its implication for magnetoencephalography systems.

Authors :
Borna A
Iivanainen J
Carter TR
McKay J
Taulu S
Stephen J
Schwindt PDD
Source :
NeuroImage [Neuroimage] 2022 Feb 15; Vol. 247, pp. 118818. Date of Electronic Publication: 2021 Dec 14.
Publication Year :
2022

Abstract

Optically pumped magnetometers (OPMs) developed for magnetoencephalography (MEG) typically operate in the spin-exchange-relaxation-free (SERF) regime and measure a magnetic field component perpendicular to the propagation axis of the optical-pumping photons. The most common type of OPM for MEG employs alkali atoms, e.g. <superscript>87</superscript> Rb, as the sensing element and one or more lasers for preparation and interrogation of the magnetically sensitive states of the alkali atoms ensemble. The sensitivity of the OPM can be greatly enhanced by operating it in the SERF regime, where the alkali atoms' spin exchange rate is much faster than the Larmor precession frequency. The SERF regime accommodates remnant static magnetic fields up to ±5 nT. However, in the presented work, through simulation and experiment, we demonstrate that multi-axis magnetic signals in the presence of small remnant static magnetic fields, not violating the SERF criteria, can introduce significant error terms in OPM's output signal. We call these deterministic errors cross-axis projection errors (CAPE), where magnetic field components of the MEG signal perpendicular to the nominal sensing axis contribute to the OPM signal giving rise to substantial amplitude and phase errors. Furthermore, through simulation, we have discovered that CAPE can degrade localization and calibration accuracy of OPM-based magnetoencephalography (OPM-MEG) systems.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2021. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1095-9572
Volume :
247
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
34915157
Full Text :
https://doi.org/10.1016/j.neuroimage.2021.118818