NeuroDOT: a Matlab and Python-based self-contained toolbox for DOT

Emma L. Speh; Yash Thacker; Ari Segel; Dan Marcus; Muriah D. Wheelock; Adam T. Eggebrecht

doi:10.1117/12.3001781

13 March 2024 NeuroDOT: a Matlab and Python-based self-contained toolbox for DOT

Emma L. Speh, Yash Thacker, Ari Segel, Dan Marcus, Muriah D. Wheelock, Adam T. Eggebrecht

Proceedings Volume PC12828, Neural Imaging and Sensing 2024; PC128280S (2024) https://doi.org/10.1117/12.3001781
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

Processing functional near infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) data poses several challenges including costly software licenses (e.g. MATLAB) and compatibility between a wide variety of data formats (NIRS, SNIRF, BIDS, NIFTI, 4dfp, GIFTI, etc.). NeuroDOT is a toolbox available in both MATLAB and Python that has functions and pipelines for data preprocessing, anatomical light modeling, image reconstruction, analysis, and visualization. NeuroDOT’s standard pipelines provide a self-contained, straightforward method of processing and analysis for fNIRS and DOT data. Additionally, NeuroDOT utilizes cloud-based computing with XNAT to lessen computational burden, promote reproducibility of results, and simplify processing.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Emma L. Speh, Yash Thacker, Ari Segel, Dan Marcus, Muriah D. Wheelock, and Adam T. Eggebrecht "NeuroDOT: a Matlab and Python-based self-contained toolbox for DOT", Proc. SPIE PC12828, Neural Imaging and Sensing 2024, PC128280S (13 March 2024); https://doi.org/10.1117/12.3001781

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