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Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs
Near-infrared spectroscopy (NIRS) is an established technique for measuring tissue oxygen saturation (StO(2)), which is of high clinical value. For tissues that have layered structures, it is challenging but clinically relevant to obtain StO(2) of the different layers, e.g. brain and scalp. For this...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optica Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368065/ https://www.ncbi.nlm.nih.gov/pubmed/37497481 http://dx.doi.org/10.1364/BOE.492168 |
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author | Sudakou, Aleh Wabnitz, Heidrun Liemert, André Wolf, Martin Liebert, Adam |
author_facet | Sudakou, Aleh Wabnitz, Heidrun Liemert, André Wolf, Martin Liebert, Adam |
author_sort | Sudakou, Aleh |
collection | PubMed |
description | Near-infrared spectroscopy (NIRS) is an established technique for measuring tissue oxygen saturation (StO(2)), which is of high clinical value. For tissues that have layered structures, it is challenging but clinically relevant to obtain StO(2) of the different layers, e.g. brain and scalp. For this aim, we present a new method of data analysis for time-domain NIRS (TD-NIRS) and a new two-layered blood-lipid phantom. The new analysis method enables accurate determination of even large changes of the absorption coefficient (Δµ(a)) in multiple layers. By adding Δµ(a) to the baseline µ(a), this method provides absolute µ(a) and hence StO(2) in multiple layers. The method utilizes (i) changes in statistical moments of the distributions of times of flight of photons (DTOFs), (ii) an analytical solution of the diffusion equation for an N-layered medium, (iii) and the Levenberg–Marquardt algorithm (LMA) to determine Δµ(a) in multiple layers from the changes in moments. The method is suitable for NIRS tissue oximetry (relying on µ(a)) as well as functional NIRS (fNIRS) applications (relying on Δµ(a)). Experiments were conducted on a new phantom, which enabled us to simulate dynamic StO(2) changes in two layers for the first time. Two separate compartments, which mimic superficial and deep layers, hold blood-lipid mixtures that can be deoxygenated (using yeast) and oxygenated (by bubbling oxygen) independently. Simultaneous NIRS measurements can be performed on the two-layered medium (variable superficial layer thickness, L), the deep (homogeneous), and/or the superficial (homogeneous). In two experiments involving ink, we increased the nominal µ(a) in one of two compartments from 0.05 to 0.25 cm(−1), L set to 14.5 mm. In three experiments involving blood (L set to 12, 15, or 17 mm), we used a protocol consisting of six deoxygenation cycles. A state-of-the-art multi-wavelength TD-NIRS system measured simultaneously on the two-layered medium, as well as on the deep compartment for a reference. The new method accurately determined µ(a) (and hence StO(2)) in both compartments. The method is a significant progress in overcoming the contamination from the superficial layer, which is beneficial for NIRS and fNIRS applications, and may improve the determination of StO(2) in the brain from measurements on the head. The advanced phantom may assist in the ongoing effort towards more realistic standardized performance tests in NIRS tissue oximetry. Data and MATLAB codes used in this study were made publicly available. |
format | Online Article Text |
id | pubmed-10368065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Optica Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-103680652023-07-26 Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs Sudakou, Aleh Wabnitz, Heidrun Liemert, André Wolf, Martin Liebert, Adam Biomed Opt Express Article Near-infrared spectroscopy (NIRS) is an established technique for measuring tissue oxygen saturation (StO(2)), which is of high clinical value. For tissues that have layered structures, it is challenging but clinically relevant to obtain StO(2) of the different layers, e.g. brain and scalp. For this aim, we present a new method of data analysis for time-domain NIRS (TD-NIRS) and a new two-layered blood-lipid phantom. The new analysis method enables accurate determination of even large changes of the absorption coefficient (Δµ(a)) in multiple layers. By adding Δµ(a) to the baseline µ(a), this method provides absolute µ(a) and hence StO(2) in multiple layers. The method utilizes (i) changes in statistical moments of the distributions of times of flight of photons (DTOFs), (ii) an analytical solution of the diffusion equation for an N-layered medium, (iii) and the Levenberg–Marquardt algorithm (LMA) to determine Δµ(a) in multiple layers from the changes in moments. The method is suitable for NIRS tissue oximetry (relying on µ(a)) as well as functional NIRS (fNIRS) applications (relying on Δµ(a)). Experiments were conducted on a new phantom, which enabled us to simulate dynamic StO(2) changes in two layers for the first time. Two separate compartments, which mimic superficial and deep layers, hold blood-lipid mixtures that can be deoxygenated (using yeast) and oxygenated (by bubbling oxygen) independently. Simultaneous NIRS measurements can be performed on the two-layered medium (variable superficial layer thickness, L), the deep (homogeneous), and/or the superficial (homogeneous). In two experiments involving ink, we increased the nominal µ(a) in one of two compartments from 0.05 to 0.25 cm(−1), L set to 14.5 mm. In three experiments involving blood (L set to 12, 15, or 17 mm), we used a protocol consisting of six deoxygenation cycles. A state-of-the-art multi-wavelength TD-NIRS system measured simultaneously on the two-layered medium, as well as on the deep compartment for a reference. The new method accurately determined µ(a) (and hence StO(2)) in both compartments. The method is a significant progress in overcoming the contamination from the superficial layer, which is beneficial for NIRS and fNIRS applications, and may improve the determination of StO(2) in the brain from measurements on the head. The advanced phantom may assist in the ongoing effort towards more realistic standardized performance tests in NIRS tissue oximetry. Data and MATLAB codes used in this study were made publicly available. Optica Publishing Group 2023-06-21 /pmc/articles/PMC10368065/ /pubmed/37497481 http://dx.doi.org/10.1364/BOE.492168 Text en Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Sudakou, Aleh Wabnitz, Heidrun Liemert, André Wolf, Martin Liebert, Adam Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs |
title | Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs |
title_full | Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs |
title_fullStr | Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs |
title_full_unstemmed | Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs |
title_short | Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs |
title_sort | two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of dtofs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368065/ https://www.ncbi.nlm.nih.gov/pubmed/37497481 http://dx.doi.org/10.1364/BOE.492168 |
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