Voxel-based measurement sensitivity of spatially resolved near-infrared spectroscopy in layered tissues

Masatsugu Niwayama

doi:10.1117/1.JBO.23.3.030503

9 March 2018 Voxel-based measurement sensitivity of spatially resolved near-infrared spectroscopy in layered tissues

Masatsugu Niwayama

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Journal of Biomedical Optics, Vol. 23, Issue 3, 030503 (March 2018). https://doi.org/10.1117/1.JBO.23.3.030503

Abstract

We quantitatively investigated the measurement sensitivity of spatially resolved spectroscopy (SRS) across six tissue models: cerebral tissue, a small animal brain, the forehead of a fetus, an adult brain, forearm muscle, and thigh muscle. The optical path length in the voxel of the model was analyzed using Monte Carlo simulations. It was found that the measurement sensitivity can be represented as the product of the change in the absorption coefficient and the difference in optical path length in two states with different source–detector distances. The results clarified the sensitivity ratio between the surface layer and the deep layer at each source–detector distance for each model and identified changes in the deep measurement area when one of the detectors was close to the light source. A comparison was made with the results from continuous-wave spectroscopy. The study also identified measurement challenges that arise when the surface layer is inhomogeneous. Findings on the measurement sensitivity of SRS at each voxel and in each layer can support the correct interpretation of measured values when near-infrared oximetry or functional near-infrared spectroscopy is used to investigate different tissue structures.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Masatsugu Niwayama "Voxel-based measurement sensitivity of spatially resolved near-infrared spectroscopy in layered tissues," Journal of Biomedical Optics 23(3), 030503 (9 March 2018). https://doi.org/10.1117/1.JBO.23.3.030503

Received: 12 November 2017; Accepted: 21 February 2018; Published: 9 March 2018

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