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Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study

Significance: Hemoglobin oxygen saturation and red blood cell (RBC) tissue fraction are important parameters when assessing microvascular status. Functional information can be attained using temporally resolved measurements performed during stimulus–response protocols. Pointwise assessments can curr...

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Autores principales: Ewerlöf, Maria, Salerud, E. Göran, Strömberg, Tomas, Larsson, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881095/
https://www.ncbi.nlm.nih.gov/pubmed/33583154
http://dx.doi.org/10.1117/1.JBO.26.2.026002
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author Ewerlöf, Maria
Salerud, E. Göran
Strömberg, Tomas
Larsson, Marcus
author_facet Ewerlöf, Maria
Salerud, E. Göran
Strömberg, Tomas
Larsson, Marcus
author_sort Ewerlöf, Maria
collection PubMed
description Significance: Hemoglobin oxygen saturation and red blood cell (RBC) tissue fraction are important parameters when assessing microvascular status. Functional information can be attained using temporally resolved measurements performed during stimulus–response protocols. Pointwise assessments can currently be conducted with probe-based systems. However, snapshot multispectral imaging (MSI) can be used for spatial–temporal measurements. Aim: To validate if hemoglobin oxygen saturation and RBC tissue fraction can be quantified using a snapshot MSI system and an inverse Monte Carlo algorithm. Approach: Skin tissue measurements from the MSI system were compared to those from a validated probe-based system during arterial and venous occlusion provocation on 24 subjects in the wavelength interval 450 to 650 nm, to evaluate a wide range of hemoglobin oxygen saturation and RBC tissue fraction levels. Results: Arterial occlusion results show a mean linear regression [Formula: see text] for hemoglobin oxygen saturation. Comparing relative RBC tissue fraction during venous occlusion results in [Formula: see text]. The MSI system shows larger dynamic changes than the reference system, which might be explained by a deeper sampling including more capacitance vessels. Conclusions: The snapshot MSI system estimates hemoglobin oxygen saturation and RBC tissue fraction in skin microcirculation showing a high correlation ([Formula: see text] in most subjects) with those measured by the reference method.
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spelling pubmed-78810952021-02-16 Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study Ewerlöf, Maria Salerud, E. Göran Strömberg, Tomas Larsson, Marcus J Biomed Opt Imaging Significance: Hemoglobin oxygen saturation and red blood cell (RBC) tissue fraction are important parameters when assessing microvascular status. Functional information can be attained using temporally resolved measurements performed during stimulus–response protocols. Pointwise assessments can currently be conducted with probe-based systems. However, snapshot multispectral imaging (MSI) can be used for spatial–temporal measurements. Aim: To validate if hemoglobin oxygen saturation and RBC tissue fraction can be quantified using a snapshot MSI system and an inverse Monte Carlo algorithm. Approach: Skin tissue measurements from the MSI system were compared to those from a validated probe-based system during arterial and venous occlusion provocation on 24 subjects in the wavelength interval 450 to 650 nm, to evaluate a wide range of hemoglobin oxygen saturation and RBC tissue fraction levels. Results: Arterial occlusion results show a mean linear regression [Formula: see text] for hemoglobin oxygen saturation. Comparing relative RBC tissue fraction during venous occlusion results in [Formula: see text]. The MSI system shows larger dynamic changes than the reference system, which might be explained by a deeper sampling including more capacitance vessels. Conclusions: The snapshot MSI system estimates hemoglobin oxygen saturation and RBC tissue fraction in skin microcirculation showing a high correlation ([Formula: see text] in most subjects) with those measured by the reference method. Society of Photo-Optical Instrumentation Engineers 2021-02-13 2021-02 /pmc/articles/PMC7881095/ /pubmed/33583154 http://dx.doi.org/10.1117/1.JBO.26.2.026002 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Imaging
Ewerlöf, Maria
Salerud, E. Göran
Strömberg, Tomas
Larsson, Marcus
Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study
title Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study
title_full Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study
title_fullStr Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study
title_full_unstemmed Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study
title_short Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study
title_sort estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: a validation study
topic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881095/
https://www.ncbi.nlm.nih.gov/pubmed/33583154
http://dx.doi.org/10.1117/1.JBO.26.2.026002
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