Data from: Three-dimensional infrared scanning: An enhanced approach for spatial registration of probes for neuroimaging
Data files
May 24, 2024 version files 27.34 MB
Abstract
Significance: Accurate spatial registration of probes (e.g., optodes and electrodes) for measurement of brain activity is a crucial aspect in many neuroimaging modalities. It may increase measurement precision and enable the transition from channel-based calculations to volumetric representations.
Aim: This technical note evaluates the efficacy of a commercially available infrared three-dimensional (3D) scanner under actual experimental (or clinical) conditions and provides guidelines for its use.
Method: We registered probe positions using an infrared 3D scanner and validated them against magnetic resonance imaging (MRI) scans on five volunteer participants.
Results: Our analysis showed that with standard cap fixation, the average Euclidean distance of probe position among subjects could reach up to 43 mm, with an average distance of 15.25 mm [standard deviation (SD) = 8.0]. By contrast, the average distance between the infrared 3D scanner and the MRI-acquired positions was 5.69 mm (SD = 1.73), while the average difference between consecutive infrared 3D scans was 3.43 mm (SD = 1.62). The inter-optode distance, which was fixed at 30 mm, was measured as 29.28 mm (SD = 1.12) on the MRI and 29.43 mm (SD = 1.96) on infrared 3D scans. Our results demonstrate the high accuracy and reproducibility of the proposed spatial registration method, making it suitable for both functional near-infrared spectroscopy and electroencephalogram studies.
Conclusions: The 3D infrared scanning technique for spatial registration of probes provides economic efficiency, simplicity, practicality, repeatability, and high accuracy, with potential benefits for a range of neuroimaging applications. We provide practical guidance on anonymization, labeling, and post-processing of acquired scans.
README: Data from: Three-dimensional infrared scanning: An enhanced approach for spatial registration of probes for neuroimaging
https://doi.org/10.5061/dryad.h18931zsq
We aim to evaluate the efficacy of an infrared 3D scanner as a potential solution for registering neuroimaging probes on the scalp.
Description of the data and file structure
To estimate the spatial resolution, we registered sensor positions using an infrared 3D registration method and performed MRI scans on five voluntary participants.
The dataset needs to be unzipped. The data folder contains the infrared 3D scans in an anonymized format (.glb) together with the sensor positions (.pp), labeled in MeshLab. On the anonymized MRI scans, the segmented brain and the position of the nitroglycerin markers were shared (.nii.gz) together with the sensor positions (.json), labeled in Slicer.
Code/Software
We provide the necessary source code for anatomical mapping and integration into the MNE-Python library. The functions can be found in the file 'fnirs_3D_e.py', and the 'main.ipynb' can be run to replicate the calculations from the publication, and also to use the positions in MNE-Python.
Methods
To estimate the spatial resolution, we registered sensor positions using an infrared 3D registration method and performed MRI scans on five voluntary participants.