OMMR: Co-registration toolbox of OPM-MEG and MRI
Magnetoencephalography (MEG) based on optically pumped magnetometers (OPM-MEG) has shown better flexibility in sensor configuration compared with the conventional superconducting quantum interference devices-based MEG system while being better suited for all-age groups. However, this flexibility pre...
Saved in:
Published in | Frontiers in neuroscience Vol. 16; p. 984036 |
---|---|
Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
15.09.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Magnetoencephalography (MEG) based on optically pumped magnetometers (OPM-MEG) has shown better flexibility in sensor configuration compared with the conventional superconducting quantum interference devices-based MEG system while being better suited for all-age groups. However, this flexibility presents challenges for the co-registration of MEG and magnetic resonance imaging (MRI), hindering adoption. This study presents a toolbox called OMMR, developed in Matlab, that facilitates the co-registration step for researchers and clinicians. OMMR integrates the co-registration methods of using the electromagnetic digitization system and two types of optical scanners (the structural-light and laser scanner). As the first open-source co-registration toolbox specifically for OPM-MEG, the toolbox aims to standardize the co-registration process and set the ground for future applications of OPM-MEG. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Jürgen Dammers, Helmholtz Association of German Research Centres (HZ), Germany This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience Reviewed by: Gareth Barnes, University College London, United Kingdom; Joonas Iivanainen, Sandia National Laboratories (DOE), United States |
ISSN: | 1662-453X 1662-4548 1662-453X |
DOI: | 10.3389/fnins.2022.984036 |