Functional near infrared spectroscopy using spatially resolved data to account for tissue scattering: a numerical study and arm‐cuff experiment

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@article{fd3dd8508ae54647a3a7a4ee546ed5c5,
title = "Functional near infrared spectroscopy using spatially resolved data to account for tissue scattering: a numerical study and arm‐cuff experiment",
abstract = "Functional Near‐Infrared Spectroscopy (fNIRS) aims to recover changes in tissue optical parameters relating to tissue haemodynamics, to infer functional information in biological tissue. A widely‐used application of fNIRS relies on continuous wave (CW) methodology that utilizes multiple distance measurements on human head for study of brain health. The typical method used is spatially resolved spectroscopy (SRS), which is shown to recover tissue oxygenation index (TOI) based on gradient of light intensity measured between two detectors. However, this methodology does not account for tissue scattering which is often assumed. A new parameter recovery algorithm is developed, which directly recovers both the scattering parameter and scaled chromophore concentrations and hence TOI from the measured gradient of light‐attenuation at multiple wavelengths. It is shown through simulations that in comparison to conventional SRS which estimates cerebral TOI values with an error of ±12.3%, the proposed method provides more accurate estimate of TOI exhibiting an error of ±5.7% without any prior assumptions of tissue scatter, and can be easily implemented within CW fNIRS systems. Using an arm‐cuff experiment, the obtained TOI using the proposed method is shown to provide a higher and more realistic value as compared to utilising any prior assumptions of tissue scatter.",
keywords = "tissue optics, near-infrared spectroscopy, tissue scattering",
author = "Veesa, {Joshua Deepak} and Hamid Dehghani",
year = "2019",
month = oct
day = "1",
doi = "10.1002/jbio.201900064",
language = "English",
volume = "12",
journal = "Journal of Biophotonics",
issn = "1864-063X",
publisher = "Wiley - V C H Verlag GmbH & Co. KGaA",
number = "10",

}

RIS

TY - JOUR

T1 - Functional near infrared spectroscopy using spatially resolved data to account for tissue scattering

T2 - a numerical study and arm‐cuff experiment

AU - Veesa, Joshua Deepak

AU - Dehghani, Hamid

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Functional Near‐Infrared Spectroscopy (fNIRS) aims to recover changes in tissue optical parameters relating to tissue haemodynamics, to infer functional information in biological tissue. A widely‐used application of fNIRS relies on continuous wave (CW) methodology that utilizes multiple distance measurements on human head for study of brain health. The typical method used is spatially resolved spectroscopy (SRS), which is shown to recover tissue oxygenation index (TOI) based on gradient of light intensity measured between two detectors. However, this methodology does not account for tissue scattering which is often assumed. A new parameter recovery algorithm is developed, which directly recovers both the scattering parameter and scaled chromophore concentrations and hence TOI from the measured gradient of light‐attenuation at multiple wavelengths. It is shown through simulations that in comparison to conventional SRS which estimates cerebral TOI values with an error of ±12.3%, the proposed method provides more accurate estimate of TOI exhibiting an error of ±5.7% without any prior assumptions of tissue scatter, and can be easily implemented within CW fNIRS systems. Using an arm‐cuff experiment, the obtained TOI using the proposed method is shown to provide a higher and more realistic value as compared to utilising any prior assumptions of tissue scatter.

AB - Functional Near‐Infrared Spectroscopy (fNIRS) aims to recover changes in tissue optical parameters relating to tissue haemodynamics, to infer functional information in biological tissue. A widely‐used application of fNIRS relies on continuous wave (CW) methodology that utilizes multiple distance measurements on human head for study of brain health. The typical method used is spatially resolved spectroscopy (SRS), which is shown to recover tissue oxygenation index (TOI) based on gradient of light intensity measured between two detectors. However, this methodology does not account for tissue scattering which is often assumed. A new parameter recovery algorithm is developed, which directly recovers both the scattering parameter and scaled chromophore concentrations and hence TOI from the measured gradient of light‐attenuation at multiple wavelengths. It is shown through simulations that in comparison to conventional SRS which estimates cerebral TOI values with an error of ±12.3%, the proposed method provides more accurate estimate of TOI exhibiting an error of ±5.7% without any prior assumptions of tissue scatter, and can be easily implemented within CW fNIRS systems. Using an arm‐cuff experiment, the obtained TOI using the proposed method is shown to provide a higher and more realistic value as compared to utilising any prior assumptions of tissue scatter.

KW - tissue optics

KW - near-infrared spectroscopy

KW - tissue scattering

UR - http://www.scopus.com/inward/record.url?scp=85068057644&partnerID=8YFLogxK

U2 - 10.1002/jbio.201900064

DO - 10.1002/jbio.201900064

M3 - Article

VL - 12

JO - Journal of Biophotonics

JF - Journal of Biophotonics

SN - 1864-063X

IS - 10

M1 - e201900064

ER -