OMMR: Co-registration toolbox of OPM-MEG and MRI

Fuzhi Cao, Nan An, Weinan Xu, Wenli Wang, Wen Li, Chunhui Wang, Yanfei Yang, Min Xiang, Yang Gao, Xiaolin Ning

Frontiers in Neuroscience · 2022 · 19 citations · 28 references

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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.

References

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