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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

2022Frontiers in Neuroscience19 citationsDOIOpen Access PDF

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.

Topics & Concepts

ToolboxComputer scienceFlexibility (engineering)Computer visionScannerProcess (computing)Magnetic resonance imagingMagnetoencephalographyMATLABArtificial intelligenceDigitizationImage registrationMedicineElectroencephalographyRadiologyOperating systemPsychiatryStatisticsMathematicsProgramming languageImage (mathematics)Atomic and Subatomic Physics ResearchAdvanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies
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