ArticleScientific reports2022
Smartphone-based photogrammetry provides improved localization and registration of scalp-mounted neuroimaging sensors.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world.Neurophotonics · 2026Article
- NeuroCaptain v2 - Interactive Three-Dimensional fNIRS Optode and Probe Montage Design Platform Based on Blender.bioRxiv : the preprint server for biology · 2026Article
- Beam-F3 error analysis and validation of Neurally-F3 equations using realistic head models.Scientific reports · 2026Article
- Article
- De-aberration for noninvasive transcranial photoacoustic computed tomography through an adult human skull.Communications physics · 2026Article
- Improving neuroimaging headgear placement robustness using facial-landmark-guided augmented reality.Neurophotonics · 2025Article
- Improving neuroimaging headgear placement robustness using facial-landmark guided augmented reality.bioRxiv : the preprint server for biology · 2025Article
- Robust photogrammetric scalp morphology estimation for functional optical neuroimaging.Neurophotonics · 2025Article
- A compact time-domain diffuse optical tomography system for cortical neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Functional brain mapping using whole-head very high-density diffuse optical tomography.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Creating anatomically derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.Neurophotonics · 2025Article
- Creating anatomically-derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.bioRxiv : the preprint server for biology · 2024Article
- A brief history of the development of transcranial tissue Doppler ultrasound.Interface focus · 2024Article
- Ecological functional near-infrared spectroscopy in mobile children: using short separation channels to correct for systemic contamination during naturalistic neuroimaging.Neurophotonics · 2024Article
- ninjaCap: a fully customizable and 3D printable headgear for functional near-infrared spectroscopy and electroencephalography brain imaging.Neurophotonics · 2024Article
- Flexible circuit-based spatially aware modular optical brain imaging system for high-density measurements in natural settings.Neurophotonics · 2024Article
- Flexible-circuit-based 3-D aware modular optical brain imaging system for high-density measurements in natural settings.medRxiv : the preprint server for health sciences · 2024Article
- Subject-specific information enhances spatial accuracy of high-density diffuse optical tomography.Frontiers in neuroergonomics · 2024Article
- Review of measurements and imaging of cytochrome-c-oxidase in humans using near-infrared spectroscopy: an update.Biomedical optics express · 2024Review
- Craniofacial 3D Morphometric Analysis with Smartphone-Based Photogrammetry.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.