Accuracy of high-density EEG electrode position measurement using an optical scanner compared with the photogrammetry method

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Objective: To determine the feasibility and accuracy of a handheld optical scanner to measure the three-dimensional (3D) EEG electrode coordinates in a high-density array of 256 electrodes. Methods: We compared the optical scanning with a previously validated method, based on photogrammetry. Electrode coordinates were co-registered with the MRI of the patients, and mean distance error relative to the three-dimensional MRI reconstruction was determined for each patient. We included 60 patients: 30 were measured using the photogrammetry method, and 30 age and gender matched patients were measured with the optical scanner. Results: Using the optical scanner, the mean distance error was 1.78 mm (95% confidence interval: 1.59–1.98 mm) which was significantly lower (p < 0.001) compared with the photogrammetry method (mean distance error: 2.43 mm; 95% confidence interval: 2.28–2.57 mm). The real-time scanning took 5–10 min per patient. Conclusions: The handheld optical scanner is more accurate and feasible, compared to the photogrammetry method. Significance: Measuring EEG electrode positions in high-density array, using the optical scanner is suitable for clinical implementation in EEG source imaging for presurgical evaluation.

OriginalsprogEngelsk
TidsskriftClinical Neurophysiology Practice
Vol/bind7
Sider (fra-til)135-138
Antal sider4
ISSN2467-981X
DOI
StatusUdgivet - 2022

Bibliografisk note

Funding Information:
This work was supported by International Federation of Clinical Neurophysiology, by a Research Fellowship granted to author OG, and by the Augustinus Foundation (F-22523-11 granted to authors LHP and CTI). We are grateful to Mette Thrane Foged, Terje Martens and Nizar Hamrouni, for their help with the recordings. The authors do not have conflicts of interests related to this work.

Funding Information:
This work was supported by International Federation of Clinical Neurophysiology , by a Research Fellowship granted to author OG, and by the Augustinus Foundation ( F-22523-11 granted to authors LHP and CTI). We are grateful to Mette Thrane Foged, Terje Martens and Nizar Hamrouni, for their help with the recordings.

Publisher Copyright:
© 2022 International Federation of Clinical Neurophysiology

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