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How short is short? Optimum source-detector distance for short-separation channels in functional near-infrared spectroscopy

Brigadoi, S; Cooper, RJ; (2015) How short is short? Optimum source-detector distance for short-separation channels in functional near-infrared spectroscopy. Neurophotonics , 2 (2) , Article 025005. 10.1117/1.NPh.2.2.025005. Green open access

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Abstract

In recent years, it has been demonstrated that using functional near-infrared spectroscopy (fNIRS) channels with short separations to explicitly sample extra-cerebral tissues can provide a significant improvement in the accuracy and reliability of fNIRS measurements. The aim of these short-separation channels is to measure the same superficial hemodynamics observed by standard fNIRS channels while also being insensitive to the brain. We use Monte Carlo simulations of photon transport in anatomically informed multilayer models to determine the optimum source–detector distance for short-separation channels in adult and newborn populations. We present a look-up plot that provides (for an acceptable value of short-separation channel brain sensitivity relative to standard channel brain sensitivity) the optimum short-separation distance. Though values vary across the scalp, when the acceptable ratio of the short-separation channel brain sensitivity to standard channel brain sensitivity is set at 5%, the optimum short-separation distance is 8.4 mm in the typical adult and 2.15 mm in the term-age infant.

Type: Article
Title: How short is short? Optimum source-detector distance for short-separation channels in functional near-infrared spectroscopy
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/1.NPh.2.2.025005
Publisher version: http://dx.doi.org/10.1117/1.NPh.2.2.025005
Language: English
Additional information: Copyright © 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1482113
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