AUTHOR=Cao Fuzhi , An Nan , Xu Weinan , Wang Wenli , Li Wen , Wang Chunhui , Yang Yanfei , Xiang Min , Gao Yang , Ning Xiaolin TITLE=OMMR: Co-registration toolbox of OPM-MEG and MRI JOURNAL=Frontiers in Neuroscience VOLUME=16 YEAR=2022 URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2022.984036 DOI=10.3389/fnins.2022.984036 ISSN=1662-453X ABSTRACT=

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.