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Photogrammetry-Based Head Digitization for Rapid and Accurate Localization of EEG Electrodes and MEG Fiducial Markers Using a Single Digital SLR Camera

Photogrammetry-Based Head Digitization for Rapid and Accurate Localization of EEG Electrodes and MEG Fiducial Markers Using a Single Digital SLR Camera

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CLAUSNER, Tommy, Sarang S. DALAL, Maité CRESPO-GARCÍA, 2017. Photogrammetry-Based Head Digitization for Rapid and Accurate Localization of EEG Electrodes and MEG Fiducial Markers Using a Single Digital SLR Camera. In: Frontiers in Neuroscience. 11, 264. ISSN 1662-4548. eISSN 1662-453X. Available under: doi: 10.3389/fnins.2017.00264

@article{Clausner2017-05-16Photo-39328, title={Photogrammetry-Based Head Digitization for Rapid and Accurate Localization of EEG Electrodes and MEG Fiducial Markers Using a Single Digital SLR Camera}, year={2017}, doi={10.3389/fnins.2017.00264}, volume={11}, issn={1662-4548}, journal={Frontiers in Neuroscience}, author={Clausner, Tommy and Dalal, Sarang S. and Crespo-García, Maité}, note={Article Number: 264} }

Clausner, Tommy Crespo-García, Maité Dalal, Sarang S. eng Crespo-García, Maité 2017-06-21T07:22:57Z 2017-06-21T07:22:57Z Photogrammetry-Based Head Digitization for Rapid and Accurate Localization of EEG Electrodes and MEG Fiducial Markers Using a Single Digital SLR Camera The performance of EEG source reconstruction has benefited from the increasing use of advanced head modeling techniques that take advantage of MRI together with the precise positions of the recording electrodes. The prevailing technique for registering EEG electrode coordinates involves electromagnetic digitization. However, the procedure adds several minutes to experiment preparation and typical digitizers may not be accurate enough for optimal source reconstruction performance (Dalal et al., 2014). Here, we present a rapid, accurate, and cost-effective alternative method to register EEG electrode positions, using a single digital SLR camera, photogrammetry software, and computer vision techniques implemented in our open-source toolbox, janus<sub>3</sub>D. Our approach uses photogrammetry to construct <sub>3</sub>D models from multiple photographs of the participant's head wearing the EEG electrode cap. Electrodes are detected automatically or semi-automatically using a template. The rigid facial features from these photo-based models are then surface-matched to MRI-based head reconstructions to facilitate coregistration to MRI space. This method yields a final electrode coregistration error of 0.8 mm, while a standard technique using an electromagnetic digitizer yielded an error of 6.1 mm. The technique furthermore reduces preparation time, and could be extended to a multi-camera array, which would make the procedure virtually instantaneous. In addition to EEG, the technique could likewise capture the position of the fiducial markers used in magnetoencephalography systems to register head position. Dalal, Sarang S. Clausner, Tommy 2017-05-16

Dateiabrufe seit 21.06.2017 (Informationen über die Zugriffsstatistik)

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