Mazzonetto, Ilaria;
Castellaro, Marco;
Cooper, Robert J;
Brigadoi, Sabrina;
(2022)
Smartphone-based photogrammetry provides improved localization and registration of scalp-mounted neuroimaging sensors.
Scientific Reports
, 12
(1)
, Article 10862. 10.1038/s41598-022-14458-6.
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Abstract
Functional near infrared spectroscopy and electroencephalography are non-invasive techniques that rely on sensors placed over the scalp. The spatial localization of the measured brain activity requires the precise individuation of sensor positions and, when individual anatomical information is not available, the accurate registration of these sensor positions to a head atlas. Both these issues could be successfully addressed using a photogrammetry-based method. In this study we demonstrate that sensor positions can be accurately detected from a video recorded with a smartphone, with a median localization error of 0.7 mm, comparable if not lower, to that of conventional approaches. Furthermore, we demonstrate that the additional information of the shape of the participant's head can be further exploited to improve the registration of the sensor's positions to a head atlas, reducing the median sensor localization error of 31% compared to the standard registration approach.
| Type: | Article |
|---|---|
| Title: | Smartphone-based photogrammetry provides improved localization and registration of scalp-mounted neuroimaging sensors |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41598-022-14458-6 |
| Publisher version: | https://doi.org/10.1038/s41598-022-14458-6 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Scalp, Humans, Photogrammetry, Electroencephalography, Neuroimaging, Smartphone |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10151376 |
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