Evidence map›Paper›PMID 35459044›Full record

ArticleSensors (Basel, Switzerland)2022

Calibration and Localization of Optically Pumped Magnetometers Using Electromagnetic Coils.

Joonas Iivanainen, Amir Borna, Rasmus Zetter, Tony R Carter, Julia M Stephen, Jim McKay, Lauri Parkkonen, Samu Taulu, Peter D D Schwindt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Spatial-Jitter Model for Magnetoencephalography Sensor Arrays.IEEE transactions on medical imaging · 2026
    Article
  2. Article
  3. Review
  4. A Single-Cell Optically Pumped Intrinsic Gradiometer.Sensors (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Wearable Magnetoencephalography in a Lightly Shielded Environment.IEEE transactions on bio-medical engineering · 2025
    Article
  11. Article
  12. Determining sensor geometry and gain in a wearable MEG system.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. OMMR: Co-registration toolbox of OPM-MEG and MRI.Frontiers in neuroscience · 2022
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Joonas IivanainenSandia National Laboratories, Albuquerque, NM 87185, USA.ORCID 0000-0001-6034-4604
Amir BornaSandia National Laboratories, Albuquerque, NM 87185, USA.
Rasmus ZetterDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, FI-00076 Aalto, Finland.ORCID 0000-0002-5331-2521
Tony R CarterSandia National Laboratories, Albuquerque, NM 87185, USA.
Julia M StephenMind Research Network a Division of Lovelace Biomedical Research Institute, Albuquerque, NM 87106, USA.ORCID 0000-0003-2486-747X
Jim McKayCandoo Systems Inc., Port Coquitlam, BC V3C 5M2, Canada.
Lauri ParkkonenDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, FI-00076 Aalto, Finland.ORCID 0000-0002-0130-0801
Samu TauluUniversity of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-6164-3366
Peter D D SchwindtSandia National Laboratories, Albuquerque, NM 87185, USA.ORCID 0000-0002-7570-1229

Funding

A wearable functional-brain-imaging system with full-head coverage and enhanced spatiotemporal-resolution to study complex neural circuits in human subjectsU01EB028656 · NIBIB · SANDIA CORP-SANDIA NATIONAL LABORATORIES · PI SCHWINDT, PETER D. D. · 2019 to 2023
$6.6M
European Research Council 678578NIBIB NIH HHS U01 EB028656NIBIB NIH HHS U01EB028656
6 · The paper itself

Abstract

In this paper, we propose a method to estimate the position, orientation, and gain of a magnetic field sensor using a set of (large) electromagnetic coils. We apply the method for calibrating an array of optically pumped magnetometers (OPMs) for magnetoencephalography (MEG). We first measure the magnetic fields of the coils at multiple known positions using a well-calibrated triaxial magnetometer, and model these discreetly sampled fields using vector spherical harmonics (VSH) functions. We then localize and calibrate an OPM by minimizing the sum of squared errors between the model signals and the OPM responses to the coil fields. We show that by using homogeneous and first-order gradient fields, the OPM sensor parameters (gain, position, and orientation) can be obtained from a set of linear equations with pseudo-inverses of two matrices. The currents that should be applied to the coils for approximating these low-order field components can be determined based on the VSH models. Computationally simple initial estimates of the OPM sensor parameters follow. As a first test of the method, we placed a fluxgate magnetometer at multiple positions and estimated the RMS position, orientation, and gain errors of the method to be 1.0 mm, 0.2°, and 0.8%, respectively. Lastly, we calibrated a 48-channel OPM array. The accuracy of the OPM calibration was tested by using the OPM array to localize magnetic dipoles in a phantom, which resulted in an average dipole position error of 3.3 mm. The results demonstrate the feasibility of using electromagnetic coils to calibrate and localize OPMs for MEG.

Indexed as

BrainMagnetoencephalographyCalibrationElectromagnetic PhenomenaMagnetic Fieldscalibrationco-registrationelectromagnetic coilfluxgate magnetometermagnetoencephalographyon-scalp MEGoptically pumped magnetometersensor localization

Identifiers

PMID35459044
PMCPMC9024658

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.