Skin capillary extraction technique based on independent component analysis and Frangi filter using videomicroscopy
Background Videomicroscopy can be used to observe skin capillaries easily and non‐invasively. In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering. Materials and Methods Images...
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Veröffentlicht in: | Skin research and technology 2020-09, Vol.26 (5), p.664-670 |
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creator | Oharazawa, Akihiko Ogino, Masaki Sugahara, Masaru Tanahashi, Masanori |
description | Background
Videomicroscopy can be used to observe skin capillaries easily and non‐invasively. In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering.
Materials and Methods
Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth.
Results
Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. In examining physiological responses to stimuli on the skin, it was found that exposure to CO2 for 2 minutes significantly increased the capillary area compared with the steady state.
Conclusion
An algorithm to extract capillaries from skin images using ICA and the Frangi filter method was proposed. Results suggest that this algorithm can quantitatively analyze physiological changes in capillaries on the skin surface. |
doi_str_mv | 10.1111/srt.12850 |
format | Article |
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Videomicroscopy can be used to observe skin capillaries easily and non‐invasively. In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering.
Materials and Methods
Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth.
Results
Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. In examining physiological responses to stimuli on the skin, it was found that exposure to CO2 for 2 minutes significantly increased the capillary area compared with the steady state.
Conclusion
An algorithm to extract capillaries from skin images using ICA and the Frangi filter method was proposed. Results suggest that this algorithm can quantitatively analyze physiological changes in capillaries on the skin surface.</description><identifier>ISSN: 0909-752X</identifier><identifier>EISSN: 1600-0846</identifier><identifier>DOI: 10.1111/srt.12850</identifier><identifier>PMID: 32202679</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Algorithms ; blood vessel extraction ; Blood vessels ; Capillaries ; Carbon dioxide ; CO2 application on skin ; Ground truth ; Image acquisition ; image processing ; Independent component analysis ; non‐invasive analysis ; physiological response ; Physiological responses ; Physiology ; Skin</subject><ispartof>Skin research and technology, 2020-09, Vol.26 (5), p.664-670</ispartof><rights>2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><rights>2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</rights><rights>Copyright © 2020 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3530-a8a8c269995f19663c690a1189a81d52eeecc0fdf7341f2ec997e9f2d267a3eb3</citedby><cites>FETCH-LOGICAL-c3530-a8a8c269995f19663c690a1189a81d52eeecc0fdf7341f2ec997e9f2d267a3eb3</cites><orcidid>0000-0002-9842-7031</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fsrt.12850$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fsrt.12850$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,11560,27922,27923,45572,45573,46050,46474</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1111%2Fsrt.12850$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32202679$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oharazawa, Akihiko</creatorcontrib><creatorcontrib>Ogino, Masaki</creatorcontrib><creatorcontrib>Sugahara, Masaru</creatorcontrib><creatorcontrib>Tanahashi, Masanori</creatorcontrib><title>Skin capillary extraction technique based on independent component analysis and Frangi filter using videomicroscopy</title><title>Skin research and technology</title><addtitle>Skin Res Technol</addtitle><description>Background
Videomicroscopy can be used to observe skin capillaries easily and non‐invasively. In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering.
Materials and Methods
Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth.
Results
Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. In examining physiological responses to stimuli on the skin, it was found that exposure to CO2 for 2 minutes significantly increased the capillary area compared with the steady state.
Conclusion
An algorithm to extract capillaries from skin images using ICA and the Frangi filter method was proposed. Results suggest that this algorithm can quantitatively analyze physiological changes in capillaries on the skin surface.</description><subject>Algorithms</subject><subject>blood vessel extraction</subject><subject>Blood vessels</subject><subject>Capillaries</subject><subject>Carbon dioxide</subject><subject>CO2 application on skin</subject><subject>Ground truth</subject><subject>Image acquisition</subject><subject>image processing</subject><subject>Independent component analysis</subject><subject>non‐invasive analysis</subject><subject>physiological response</subject><subject>Physiological responses</subject><subject>Physiology</subject><subject>Skin</subject><issn>0909-752X</issn><issn>1600-0846</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kctKxDAUhoMoznhZ-AIScKOLai69JEsZHBUEwVFwVzLpqWZsk5q06ry9GUddCGaRHMLHD9_5ETqg5JTGcxZ8f0qZyMgGGtOckISINN9EYyKJTIqMPY7QTggLQkgmKd9GI84YYXkhxyjMXozFWnWmaZRfYvjovdK9cRb3oJ-teR0Az1WACscvYyvoIF62x9q1nbOrSVnVLIMJcajw1Cv7ZHBtmh48HoKxT_jNVOBao70L2nXLPbRVqybA_ve7ix6mF_eTq-Tm9vJ6cn6TaJ5xkiihhGa5lDKrqcxzrnNJFKVCKkGrjAGA1qSu6oKntGagpSxA1qyKZorDnO-i43Vu513UCH3ZmqAhilpwQygZF1SkPGc0okd_0IUbfPSKVJoWTBQZLSJ1sqZWJsFDXXbetHFtJSXlqokyNlF-NRHZw-_EYd5C9Uv-rD4CZ2vg3TSw_D-pnN3dryM_AZzTlLE</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Oharazawa, Akihiko</creator><creator>Ogino, Masaki</creator><creator>Sugahara, Masaru</creator><creator>Tanahashi, Masanori</creator><general>John Wiley & Sons, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9842-7031</orcidid></search><sort><creationdate>202009</creationdate><title>Skin capillary extraction technique based on independent component analysis and Frangi filter using videomicroscopy</title><author>Oharazawa, Akihiko ; Ogino, Masaki ; Sugahara, Masaru ; Tanahashi, Masanori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3530-a8a8c269995f19663c690a1189a81d52eeecc0fdf7341f2ec997e9f2d267a3eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>blood vessel extraction</topic><topic>Blood vessels</topic><topic>Capillaries</topic><topic>Carbon dioxide</topic><topic>CO2 application on skin</topic><topic>Ground truth</topic><topic>Image acquisition</topic><topic>image processing</topic><topic>Independent component analysis</topic><topic>non‐invasive analysis</topic><topic>physiological response</topic><topic>Physiological responses</topic><topic>Physiology</topic><topic>Skin</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oharazawa, Akihiko</creatorcontrib><creatorcontrib>Ogino, Masaki</creatorcontrib><creatorcontrib>Sugahara, Masaru</creatorcontrib><creatorcontrib>Tanahashi, Masanori</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Skin research and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Oharazawa, Akihiko</au><au>Ogino, Masaki</au><au>Sugahara, Masaru</au><au>Tanahashi, Masanori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Skin capillary extraction technique based on independent component analysis and Frangi filter using videomicroscopy</atitle><jtitle>Skin research and technology</jtitle><addtitle>Skin Res Technol</addtitle><date>2020-09</date><risdate>2020</risdate><volume>26</volume><issue>5</issue><spage>664</spage><epage>670</epage><pages>664-670</pages><issn>0909-752X</issn><eissn>1600-0846</eissn><abstract>Background
Videomicroscopy can be used to observe skin capillaries easily and non‐invasively. In this study, we develop an algorithm that can handle skin regions by combining color component separation methods as pre‐processing based on blood vessel extraction filtering.
Materials and Methods
Images of skin on the inner upper arm were acquired using videomicroscopy. An algorithm using independent component analysis (ICA) and the Frangi filter was constructed, and capillary regions were extracted. The capillary blood vessel extraction images were compared with ground truth to verify accuracy. An evaluation of the physiological responses of skin exposed to carbon dioxide (CO2) water, local heating, and methyl nicotinate was performed to test blood vessels with different mechanisms of action and layer depth.
Results
Based on a comparison with ground truth images, a Dice coefficient of 0.82 was calculated. In examining physiological responses to stimuli on the skin, it was found that exposure to CO2 for 2 minutes significantly increased the capillary area compared with the steady state.
Conclusion
An algorithm to extract capillaries from skin images using ICA and the Frangi filter method was proposed. Results suggest that this algorithm can quantitatively analyze physiological changes in capillaries on the skin surface.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>32202679</pmid><doi>10.1111/srt.12850</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9842-7031</orcidid></addata></record> |
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source | Wiley-Blackwell Open Access Titles |
subjects | Algorithms blood vessel extraction Blood vessels Capillaries Carbon dioxide CO2 application on skin Ground truth Image acquisition image processing Independent component analysis non‐invasive analysis physiological response Physiological responses Physiology Skin |
title | Skin capillary extraction technique based on independent component analysis and Frangi filter using videomicroscopy |
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