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Evaluation of light detector surface area for functional Near Infrared Spectroscopy
Journal article   Peer reviewed

Evaluation of light detector surface area for functional Near Infrared Spectroscopy

Lei Wang, Hasan Ayaz, Meltem Izzetoglu and Banu Onaral
Computers in biology and medicine, v 89
01 Oct 2017
PMID: 28787647

Abstract

Modified Beer-Lambert law Functional Near Infrared Spectroscopy Differential pathlength factor Detector surface area Monte Carlo simulation
Functional Near Infrared Spectroscopy (fNIRS) is an emerging neuroimaging technique that utilizes near infrared light to detect cortical concentration changes of oxy-hemoglobin and deoxy-hemoglobin non-invasively. Using light sources and detectors over the scalp, multi-wavelength light intensities are recorded as time series and converted to concentration changes of hemoglobin via modified Beer-Lambert law. Here, we describe a potential source for systematic error in the calculation of hemoglobin changes and light intensity measurements. Previous system characterization and analysis studies looked into various fNIRS parameters such as type of light source, number and selection of wavelengths, distance between light source and detector. In this study, we have analyzed the contribution of light detector surface area to the overall outcome. Results from Monte Carlo based digital phantoms indicated that selection of detector area is a critical system parameter in minimizing the error in concentration calculations. The findings here can guide the design of future fNIRS sensors. •Detector area as a potential source of error in fNIRS data processing is proposed.•Detector area size affects DPF stability.•Unstable DPF causes relative larger error in hemoglobin concentration calculation.•Different source detector separation also affects DPF stability.

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Collaboration types
Domestic collaboration
Web of Science research areas
Biology
Computer Science, Interdisciplinary Applications
Engineering, Biomedical
Mathematical & Computational Biology
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