An OPM-MEG source localization evaluation method based on dry phantom

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Authors: Shengjie Qi, Shuhao Cui, ShunCheng Xue, Tengyue Long, Xinda Song
Cited by: 0

Abstract

This study addresses the lack of known magnetic source references for evaluating the localization accuracy of OPM-MEG systems by proposing a physical dry phantom based on equivalent current dipoles. The phantom incorporates 50 dipoles with well-defined positions and orientations, allowing flexible multi-angle arrangements and controllable excitation signals, thereby providing a known magnetic source reference for system performance assessment. Based on this phantom, MEG forward model and source localization algorithm were investigated and experimentally validated using a 29-channel OPM system. Results demonstrated an average localization error of about 10 mm for the dipole positions, confirming the effectiveness of the proposed model as an evaluation tool. This work establishes a reusable experimental foundation and methodological support for localization performance evaluation, system calibration, and maintenance of multi-channel OPM-MEG systems.

Fields of Study & Subjects

Atomic and Subatomic Physics Research Magnetic Field Sensors Techniques EEG and Brain-Computer Interfaces

Publication details

Journal / source
International Conference on Computer Vision and Image Computing (CVIC)
Pages
50–50
Publication date
13 February 2026
Language
EN