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Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination
Significance: Multispectral imaging enables mapping of chromophore content changes in skin neoplasms, which helps to diagnose a pathology. Different types of light sources can be used for the imaging. Design of laser-based illuminators is more complicated and, consequently, they are more expensive t...
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Published in: | Journal of biomedical optics 2022-02, Vol.27 (2), p.026004-026004 |
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creator | Kuzmina, Ilona Oshina, Ilze Dambite, Laura Lukinsone, Vanesa Maslobojeva, Anna Berzina, Anna Spigulis, Janis |
description | Significance: Multispectral imaging enables mapping of chromophore content changes in skin neoplasms, which helps to diagnose a pathology. Different types of light sources can be used for the imaging. Design of laser-based illuminators is more complicated and, consequently, they are more expensive than LED-based illuminators. On the other hand, spectral line illumination has the advantage of less complicated calculations, since only the discrete maximum wavelengths need to be considered. Spectral band and spectral line approaches for multispectral skin diagnostics have not been compared so far. This can help to evaluate the accuracy and effectiveness of both approaches.
Aim: To compare two specific illumination modalities—spectral band and spectral line illumination—from the point of performance for mapping of in vivo skin chromophores.
Approach: Three spectral images of the same skin malformations were captured by a smartphone RGB camera with two different add-on illuminators comprising LED emitters and laser emitters, respectively. Five types of benign skin neoplasms were included in our study. Concentrations of skin melanin, oxy- and deoxy-hemoglobin at image pixel groups were calculated using the Beer–Lambert law.
Results: Skin chromophore maps and statistical analysis of mean concentrations’ changes in the neoplasms compared to the surrounding skin are presented and discussed. The data of the laser emitters led to significantly higher (∼10 times) increase of the oxy-hemoglobin values in vascular neoplasms and much lower deoxy-hemoglobin values, if compared to the data obtained by the LED emitters.
Conclusions: Analysis of the obtained chromophore distribution maps and concentration variations in neoplasms led to conclusion that the spectral line illumination approach is more appropriate for this application. Considering only the peak wavelengths of illumination spectral bands leads to essentially different results if compared to those obtained by spectral line illumination and may cause misinterpretations in the clinical assessment of skin neoplasms. |
doi_str_mv | 10.1117/1.JBO.27.2.026004 |
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Aim: To compare two specific illumination modalities—spectral band and spectral line illumination—from the point of performance for mapping of in vivo skin chromophores.
Approach: Three spectral images of the same skin malformations were captured by a smartphone RGB camera with two different add-on illuminators comprising LED emitters and laser emitters, respectively. Five types of benign skin neoplasms were included in our study. Concentrations of skin melanin, oxy- and deoxy-hemoglobin at image pixel groups were calculated using the Beer–Lambert law.
Results: Skin chromophore maps and statistical analysis of mean concentrations’ changes in the neoplasms compared to the surrounding skin are presented and discussed. The data of the laser emitters led to significantly higher (∼10 times) increase of the oxy-hemoglobin values in vascular neoplasms and much lower deoxy-hemoglobin values, if compared to the data obtained by the LED emitters.
Conclusions: Analysis of the obtained chromophore distribution maps and concentration variations in neoplasms led to conclusion that the spectral line illumination approach is more appropriate for this application. Considering only the peak wavelengths of illumination spectral bands leads to essentially different results if compared to those obtained by spectral line illumination and may cause misinterpretations in the clinical assessment of skin neoplasms.</description><identifier>ISSN: 1083-3668</identifier><identifier>EISSN: 1560-2281</identifier><identifier>DOI: 10.1117/1.JBO.27.2.026004</identifier><identifier>PMID: 35191236</identifier><language>eng</language><publisher>United States: Society of Photo-Optical Instrumentation Engineers</publisher><subject>Approximation ; Bouguer law ; Cameras ; Chromophores ; Emitters ; Hemoglobin ; Humans ; Illumination ; Illuminators ; Imaging ; Laser applications ; Lasers ; Light emitting diodes ; Light sources ; Lighting ; Line spectra ; Mapping ; Mathematical analysis ; Melanin ; Melanins ; Neoplasms ; Oxyhemoglobins ; Prototypes ; Skin ; Skin - diagnostic imaging ; Skin Neoplasms - diagnostic imaging ; Smartphone ; Smartphones ; Spectral bands ; Statistical analysis ; Tumors ; Wavelengths</subject><ispartof>Journal of biomedical optics, 2022-02, Vol.27 (2), p.026004-026004</ispartof><rights>The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.</rights><rights>2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 The Authors 2022 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-a87045ac1f1b401609bdd4e2dd1b8ce58b3dc63e91753582b4c0c2b46e9f28e63</citedby><orcidid>0000-0003-3000-4486 ; 0000-0001-9110-0792 ; 0000-0001-7087-8327 ; 0000-0003-0065-9561</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2862332705/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2862332705?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,24043,25753,27924,27925,37012,37013,44590,53791,53793,55379,55380,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35191236$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kuzmina, Ilona</creatorcontrib><creatorcontrib>Oshina, Ilze</creatorcontrib><creatorcontrib>Dambite, Laura</creatorcontrib><creatorcontrib>Lukinsone, Vanesa</creatorcontrib><creatorcontrib>Maslobojeva, Anna</creatorcontrib><creatorcontrib>Berzina, Anna</creatorcontrib><creatorcontrib>Spigulis, Janis</creatorcontrib><title>Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination</title><title>Journal of biomedical optics</title><addtitle>J. Biomed. Opt</addtitle><description>Significance: Multispectral imaging enables mapping of chromophore content changes in skin neoplasms, which helps to diagnose a pathology. Different types of light sources can be used for the imaging. Design of laser-based illuminators is more complicated and, consequently, they are more expensive than LED-based illuminators. On the other hand, spectral line illumination has the advantage of less complicated calculations, since only the discrete maximum wavelengths need to be considered. Spectral band and spectral line approaches for multispectral skin diagnostics have not been compared so far. This can help to evaluate the accuracy and effectiveness of both approaches.
Aim: To compare two specific illumination modalities—spectral band and spectral line illumination—from the point of performance for mapping of in vivo skin chromophores.
Approach: Three spectral images of the same skin malformations were captured by a smartphone RGB camera with two different add-on illuminators comprising LED emitters and laser emitters, respectively. Five types of benign skin neoplasms were included in our study. Concentrations of skin melanin, oxy- and deoxy-hemoglobin at image pixel groups were calculated using the Beer–Lambert law.
Results: Skin chromophore maps and statistical analysis of mean concentrations’ changes in the neoplasms compared to the surrounding skin are presented and discussed. The data of the laser emitters led to significantly higher (∼10 times) increase of the oxy-hemoglobin values in vascular neoplasms and much lower deoxy-hemoglobin values, if compared to the data obtained by the LED emitters.
Conclusions: Analysis of the obtained chromophore distribution maps and concentration variations in neoplasms led to conclusion that the spectral line illumination approach is more appropriate for this application. Considering only the peak wavelengths of illumination spectral bands leads to essentially different results if compared to those obtained by spectral line illumination and may cause misinterpretations in the clinical assessment of skin neoplasms.</description><subject>Approximation</subject><subject>Bouguer law</subject><subject>Cameras</subject><subject>Chromophores</subject><subject>Emitters</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Illumination</subject><subject>Illuminators</subject><subject>Imaging</subject><subject>Laser applications</subject><subject>Lasers</subject><subject>Light emitting diodes</subject><subject>Light sources</subject><subject>Lighting</subject><subject>Line spectra</subject><subject>Mapping</subject><subject>Mathematical analysis</subject><subject>Melanin</subject><subject>Melanins</subject><subject>Neoplasms</subject><subject>Oxyhemoglobins</subject><subject>Prototypes</subject><subject>Skin</subject><subject>Skin - diagnostic imaging</subject><subject>Skin Neoplasms - diagnostic imaging</subject><subject>Smartphone</subject><subject>Smartphones</subject><subject>Spectral bands</subject><subject>Statistical analysis</subject><subject>Tumors</subject><subject>Wavelengths</subject><issn>1083-3668</issn><issn>1560-2281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp1UU1v1TAQtBCIlgc_gAuyxKWXBK-dOM4FiVZQqCpV4uNsOc6-PpfEDnaC1H-Po1cetFIPXlu7M-MdDSGvgZUA0LyD8uL0quRNyUvGJWPVE3IMtWQF5wqe5jdTohBSqiPyIqUbxpiSrXxOjkQNLXAhj0n_7afz1O5iGMO0CxHpaKbJ-Wva3dI0mjjnrkf69fyUWjNiNHTxPUaaJrRzNAPtjO_peg6dwWWCG4ZldN7MLviX5NnWDAlf3d0b8uPTx-9nn4vLq_MvZx8uC1tJORdGNayqjYUtdBUDydqu7yvkfQ-dslirTvRWCmyhqUWteFdZZnOV2G65Qik25P1ed1q6EXuLft1HT9FlI7c6GKfvT7zb6evwWysl2Sq6ISd3AjH8WjDNenTJ4jAYj2FJmksBSoqmrTL07QPoTViiz_Y0V5ILwRu2CsIeZWNIKeL2sAwwvWaoQecMNW801_sMM-fN_y4OjL-hZUC5B6TJ4b9vH1f8A32opzk</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Kuzmina, Ilona</creator><creator>Oshina, Ilze</creator><creator>Dambite, Laura</creator><creator>Lukinsone, Vanesa</creator><creator>Maslobojeva, Anna</creator><creator>Berzina, Anna</creator><creator>Spigulis, Janis</creator><general>Society of Photo-Optical Instrumentation Engineers</general><general>S P I E - International Society for</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3000-4486</orcidid><orcidid>https://orcid.org/0000-0001-9110-0792</orcidid><orcidid>https://orcid.org/0000-0001-7087-8327</orcidid><orcidid>https://orcid.org/0000-0003-0065-9561</orcidid></search><sort><creationdate>20220201</creationdate><title>Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination</title><author>Kuzmina, Ilona ; Oshina, Ilze ; Dambite, Laura ; Lukinsone, Vanesa ; Maslobojeva, Anna ; Berzina, Anna ; Spigulis, Janis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-a87045ac1f1b401609bdd4e2dd1b8ce58b3dc63e91753582b4c0c2b46e9f28e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Approximation</topic><topic>Bouguer law</topic><topic>Cameras</topic><topic>Chromophores</topic><topic>Emitters</topic><topic>Hemoglobin</topic><topic>Humans</topic><topic>Illumination</topic><topic>Illuminators</topic><topic>Imaging</topic><topic>Laser applications</topic><topic>Lasers</topic><topic>Light emitting diodes</topic><topic>Light sources</topic><topic>Lighting</topic><topic>Line spectra</topic><topic>Mapping</topic><topic>Mathematical analysis</topic><topic>Melanin</topic><topic>Melanins</topic><topic>Neoplasms</topic><topic>Oxyhemoglobins</topic><topic>Prototypes</topic><topic>Skin</topic><topic>Skin - diagnostic imaging</topic><topic>Skin Neoplasms - diagnostic imaging</topic><topic>Smartphone</topic><topic>Smartphones</topic><topic>Spectral bands</topic><topic>Statistical analysis</topic><topic>Tumors</topic><topic>Wavelengths</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuzmina, Ilona</creatorcontrib><creatorcontrib>Oshina, Ilze</creatorcontrib><creatorcontrib>Dambite, Laura</creatorcontrib><creatorcontrib>Lukinsone, Vanesa</creatorcontrib><creatorcontrib>Maslobojeva, Anna</creatorcontrib><creatorcontrib>Berzina, Anna</creatorcontrib><creatorcontrib>Spigulis, Janis</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest - Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of biomedical optics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuzmina, Ilona</au><au>Oshina, Ilze</au><au>Dambite, Laura</au><au>Lukinsone, Vanesa</au><au>Maslobojeva, Anna</au><au>Berzina, Anna</au><au>Spigulis, Janis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination</atitle><jtitle>Journal of biomedical optics</jtitle><addtitle>J. Biomed. Opt</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>27</volume><issue>2</issue><spage>026004</spage><epage>026004</epage><pages>026004-026004</pages><issn>1083-3668</issn><eissn>1560-2281</eissn><abstract>Significance: Multispectral imaging enables mapping of chromophore content changes in skin neoplasms, which helps to diagnose a pathology. Different types of light sources can be used for the imaging. Design of laser-based illuminators is more complicated and, consequently, they are more expensive than LED-based illuminators. On the other hand, spectral line illumination has the advantage of less complicated calculations, since only the discrete maximum wavelengths need to be considered. Spectral band and spectral line approaches for multispectral skin diagnostics have not been compared so far. This can help to evaluate the accuracy and effectiveness of both approaches.
Aim: To compare two specific illumination modalities—spectral band and spectral line illumination—from the point of performance for mapping of in vivo skin chromophores.
Approach: Three spectral images of the same skin malformations were captured by a smartphone RGB camera with two different add-on illuminators comprising LED emitters and laser emitters, respectively. Five types of benign skin neoplasms were included in our study. Concentrations of skin melanin, oxy- and deoxy-hemoglobin at image pixel groups were calculated using the Beer–Lambert law.
Results: Skin chromophore maps and statistical analysis of mean concentrations’ changes in the neoplasms compared to the surrounding skin are presented and discussed. The data of the laser emitters led to significantly higher (∼10 times) increase of the oxy-hemoglobin values in vascular neoplasms and much lower deoxy-hemoglobin values, if compared to the data obtained by the LED emitters.
Conclusions: Analysis of the obtained chromophore distribution maps and concentration variations in neoplasms led to conclusion that the spectral line illumination approach is more appropriate for this application. Considering only the peak wavelengths of illumination spectral bands leads to essentially different results if compared to those obtained by spectral line illumination and may cause misinterpretations in the clinical assessment of skin neoplasms.</abstract><cop>United States</cop><pub>Society of Photo-Optical Instrumentation Engineers</pub><pmid>35191236</pmid><doi>10.1117/1.JBO.27.2.026004</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-3000-4486</orcidid><orcidid>https://orcid.org/0000-0001-9110-0792</orcidid><orcidid>https://orcid.org/0000-0001-7087-8327</orcidid><orcidid>https://orcid.org/0000-0003-0065-9561</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Approximation Bouguer law Cameras Chromophores Emitters Hemoglobin Humans Illumination Illuminators Imaging Laser applications Lasers Light emitting diodes Light sources Lighting Line spectra Mapping Mathematical analysis Melanin Melanins Neoplasms Oxyhemoglobins Prototypes Skin Skin - diagnostic imaging Skin Neoplasms - diagnostic imaging Smartphone Smartphones Spectral bands Statistical analysis Tumors Wavelengths |
title | Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination |
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