Surface-based image reconstruction optimization for high-density functional near-infrared spectroscopy
High-density hexagonal arrays enable accurate surface DOT reconstructions when optimized. Resting-state data augmented with synthetic HRFs provide an effective strategy for parameter selection, yielding localized activation with a high contrast-to-noise ratio.
Authors
- Shannon Kelley
- Emily P. Stephen (ORCID: https://orcid.org/0000-0003-1978-9622)
- Meryem A. Yücel (ORCID: https://orcid.org/0000-0002-4291-2847)
- Sreekanth Kura (ORCID: https://orcid.org/0000-0002-8071-3259)
- Miray Altınkaynak (ORCID: https://orcid.org/0000-0002-0258-2804)
- Laura Carlton
- Eike Middell
- Bernhard Zimmermann
- Alexander von Lühmann
- David A. Boas
Institutions
- Boston University (US)
- Technische Universität Berlin (DE)
Publication Details
- Journal
- Neurophotonics
- Published
- 2026-03-14
- DOI
- https://doi.org/10.1117/1.nph.13.2.025001
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health