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Handheld multispectral imager for quantitative skin assessment in low-resource settings
Significance: Spatial frequency domain imaging (SFDI) is a quantitative imaging method to measure absorption and scattering of tissue, from which several chromophore concentrations (e.g., oxy-/deoxy-/meth-hemoglobin, melanin, and carotenoids) can be calculated. Employing a method to extract addition...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399474/ https://www.ncbi.nlm.nih.gov/pubmed/32755076 http://dx.doi.org/10.1117/1.JBO.25.8.082702 |
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author | Belcastro, Luigi Jonasson, Hanna Strömberg, Tomas Saager, Rolf B. |
author_facet | Belcastro, Luigi Jonasson, Hanna Strömberg, Tomas Saager, Rolf B. |
author_sort | Belcastro, Luigi |
collection | PubMed |
description | Significance: Spatial frequency domain imaging (SFDI) is a quantitative imaging method to measure absorption and scattering of tissue, from which several chromophore concentrations (e.g., oxy-/deoxy-/meth-hemoglobin, melanin, and carotenoids) can be calculated. Employing a method to extract additional spectral bands from RGB components (that we named cross-channels), we designed a handheld SFDI device to account for these pigments, using low-cost, consumer-grade components for its implementation and characterization. Aim: With only three broad spectral bands (red, green, blue, or RGB), consumer-grade devices are often too limited. We present a methodology to increase the number of spectral bands in SFDI devices that use RGB components without hardware modification. Approach: We developed a compact low-cost RGB spectral imager using a color CMOS camera and LED-based mini projector. The components’ spectral properties were characterized and additional cross-channel bands were calculated. An alternative characterization procedure was also developed that makes use of low-cost equipment, and its results were compared. The device performance was evaluated by measurements on tissue-simulating optical phantoms and in-vivo tissue. The measurements were compared with another quantitative spectroscopy method: spatial frequency domain spectroscopy (SFDS). Results: Out of six possible cross-channel bands, two were evaluated to be suitable for our application and were fully characterized ([Formula: see text]; [Formula: see text]). The other four cross-channels presented a too low signal-to-noise ratio for this implementation. In estimating the optical properties of optical phantoms, the SFDI data have a strong linear correlation with the SFDS data ([Formula: see text] , [Formula: see text] for [Formula: see text] , [Formula: see text] , [Formula: see text] for [Formula: see text]). Conclusions: We extracted two additional spectral bands from a commercial RGB system at no cost. There was good agreement between our device and the research-grade SFDS system. The alternative characterization procedure we have presented allowed us to measure the spectral features of the system with an accuracy comparable to standard laboratory equipment. |
format | Online Article Text |
id | pubmed-7399474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-73994742020-08-07 Handheld multispectral imager for quantitative skin assessment in low-resource settings Belcastro, Luigi Jonasson, Hanna Strömberg, Tomas Saager, Rolf B. J Biomed Opt Special Series on Wearable, Implantable, Mobile, and Remote Biomedical Optics and Photonics Significance: Spatial frequency domain imaging (SFDI) is a quantitative imaging method to measure absorption and scattering of tissue, from which several chromophore concentrations (e.g., oxy-/deoxy-/meth-hemoglobin, melanin, and carotenoids) can be calculated. Employing a method to extract additional spectral bands from RGB components (that we named cross-channels), we designed a handheld SFDI device to account for these pigments, using low-cost, consumer-grade components for its implementation and characterization. Aim: With only three broad spectral bands (red, green, blue, or RGB), consumer-grade devices are often too limited. We present a methodology to increase the number of spectral bands in SFDI devices that use RGB components without hardware modification. Approach: We developed a compact low-cost RGB spectral imager using a color CMOS camera and LED-based mini projector. The components’ spectral properties were characterized and additional cross-channel bands were calculated. An alternative characterization procedure was also developed that makes use of low-cost equipment, and its results were compared. The device performance was evaluated by measurements on tissue-simulating optical phantoms and in-vivo tissue. The measurements were compared with another quantitative spectroscopy method: spatial frequency domain spectroscopy (SFDS). Results: Out of six possible cross-channel bands, two were evaluated to be suitable for our application and were fully characterized ([Formula: see text]; [Formula: see text]). The other four cross-channels presented a too low signal-to-noise ratio for this implementation. In estimating the optical properties of optical phantoms, the SFDI data have a strong linear correlation with the SFDS data ([Formula: see text] , [Formula: see text] for [Formula: see text] , [Formula: see text] , [Formula: see text] for [Formula: see text]). Conclusions: We extracted two additional spectral bands from a commercial RGB system at no cost. There was good agreement between our device and the research-grade SFDS system. The alternative characterization procedure we have presented allowed us to measure the spectral features of the system with an accuracy comparable to standard laboratory equipment. Society of Photo-Optical Instrumentation Engineers 2020-08-04 2020-08 /pmc/articles/PMC7399474/ /pubmed/32755076 http://dx.doi.org/10.1117/1.JBO.25.8.082702 Text en © 2020 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 | Special Series on Wearable, Implantable, Mobile, and Remote Biomedical Optics and Photonics Belcastro, Luigi Jonasson, Hanna Strömberg, Tomas Saager, Rolf B. Handheld multispectral imager for quantitative skin assessment in low-resource settings |
title | Handheld multispectral imager for quantitative skin assessment in low-resource settings |
title_full | Handheld multispectral imager for quantitative skin assessment in low-resource settings |
title_fullStr | Handheld multispectral imager for quantitative skin assessment in low-resource settings |
title_full_unstemmed | Handheld multispectral imager for quantitative skin assessment in low-resource settings |
title_short | Handheld multispectral imager for quantitative skin assessment in low-resource settings |
title_sort | handheld multispectral imager for quantitative skin assessment in low-resource settings |
topic | Special Series on Wearable, Implantable, Mobile, and Remote Biomedical Optics and Photonics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399474/ https://www.ncbi.nlm.nih.gov/pubmed/32755076 http://dx.doi.org/10.1117/1.JBO.25.8.082702 |
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