Depth-detectable optical co-registration of optically pumped magnetometer-magnetoencephalography and magnetic resonance imaging

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

doi:10.1117/12.2656553

20 October 2022 Depth-detectable optical co-registration of optically pumped magnetometer-magnetoencephalography and magnetic resonance imaging

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

Author Affiliations +

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511L (2022) https://doi.org/10.1117/12.2656553
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

In recent years, with the development of optically pumped magnetometers (OPMs), researchers have increasingly begun to construct on-scalp magnetoencephalography (MEG) systems based on OPMs. In the context of the increasing use of OPM-MEG, general-purpose rigid helmets represent the first choice for sensor placement. However, such helmets often cannot meet the requirements for the head fit; thus, depth adjustments are often required in actual use. Accurately acquiring the sensor depths and complete co-registration to magnetic resonance imaging (MRI) are critical for source localization. To date, no study has focused on the co-registration of OPM-MEG and MRI involving depth. In this paper, an OPM-MEG and MRI co-registration method (including an acquisition of sensor depth) is proposed. The sensor depth can be quickly acquired. Moreover, an initial co-registration problem of the helmet in the traditional iterative closest point (ICP) co-registration process is solved by using reflective markers.

Citation Download Citation

Fuzhi Cao, Nan An, Wenli Wang, Wen Li, Weinan Xu, Chunhui Wang, Min Xiang, Yang Gao, and Xiaolin Ning "Depth-detectable optical co-registration of optically pumped magnetometer-magnetoencephalography and magnetic resonance imaging", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511L (20 October 2022); https://doi.org/10.1117/12.2656553

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