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An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin
Background Optical coherence tomography (OCT) of skin delivers three‐dimensional images of tissue microstructures. Although OCT imaging offers a promising high‐resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of me...
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Published in: | Skin research and technology 2018-05, Vol.24 (2), p.265-273 |
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container_title | Skin research and technology |
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creator | Adabi, Saba Fotouhi, Audrey Xu, Qiuyun Daveluy, Steve Mehregan, Darius Podoleanu, Adrian Nasiriavanaki, Mohammadreza |
description | Background
Optical coherence tomography (OCT) of skin delivers three‐dimensional images of tissue microstructures. Although OCT imaging offers a promising high‐resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components.
Method
Two speckle reduction methods (one based on artificial neural network and one based on spatial compounding), an attenuation compensation algorithm (based on Beer‐Lambert law) and a deblurring procedure (using deconvolution), are described. Moreover, optical properties extraction algorithm based on extended Huygens‐Fresnel (EHF) principle to obtain some additional information from OCT images are discussed.
Results
In this short overview, we summarize some of the image enhancement algorithms for OCT images which address the abovementioned artifacts. The results showed a significant improvement in the visibility of the clinically relevant features in the images. The quality improvement was evaluated using several numerical assessment measures.
Conclusion
Clinical dermatologists benefit from using these image enhancement algorithms to improve OCT diagnosis and essentially function as a noninvasive optical biopsy. |
doi_str_mv | 10.1111/srt.12423 |
format | article |
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Optical coherence tomography (OCT) of skin delivers three‐dimensional images of tissue microstructures. Although OCT imaging offers a promising high‐resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components.
Method
Two speckle reduction methods (one based on artificial neural network and one based on spatial compounding), an attenuation compensation algorithm (based on Beer‐Lambert law) and a deblurring procedure (using deconvolution), are described. Moreover, optical properties extraction algorithm based on extended Huygens‐Fresnel (EHF) principle to obtain some additional information from OCT images are discussed.
Results
In this short overview, we summarize some of the image enhancement algorithms for OCT images which address the abovementioned artifacts. The results showed a significant improvement in the visibility of the clinically relevant features in the images. The quality improvement was evaluated using several numerical assessment measures.
Conclusion
Clinical dermatologists benefit from using these image enhancement algorithms to improve OCT diagnosis and essentially function as a noninvasive optical biopsy.</description><identifier>ISSN: 0909-752X</identifier><identifier>EISSN: 1600-0846</identifier><identifier>DOI: 10.1111/srt.12423</identifier><identifier>PMID: 29143429</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Algorithms ; Artificial neural networks ; Biopsy ; Blurring ; blurring correction ; Coherent light ; Decay ; Extremely high frequencies ; Image enhancement ; Image quality ; intensity decay compensation ; Light sources ; Luminous intensity ; Medical imaging ; Neural networks ; Optical Coherence Tomography ; Optical components ; Optical properties ; Planet detection ; Quality control ; Reviews ; Skin ; speckle reduction ; Tomography</subject><ispartof>Skin research and technology, 2018-05, Vol.24 (2), p.265-273</ispartof><rights>2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><rights>2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</rights><rights>Copyright © 2018 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3883-b548d757626fa2345bece1b08eed8e25df9b322dbac765458fc4666612daf47a3</citedby><cites>FETCH-LOGICAL-c3883-b548d757626fa2345bece1b08eed8e25df9b322dbac765458fc4666612daf47a3</cites><orcidid>0000-0002-1437-8456</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.12423$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fsrt.12423$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,11562,27924,27925,46052,46476</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1111%2Fsrt.12423$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29143429$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Adabi, Saba</creatorcontrib><creatorcontrib>Fotouhi, Audrey</creatorcontrib><creatorcontrib>Xu, Qiuyun</creatorcontrib><creatorcontrib>Daveluy, Steve</creatorcontrib><creatorcontrib>Mehregan, Darius</creatorcontrib><creatorcontrib>Podoleanu, Adrian</creatorcontrib><creatorcontrib>Nasiriavanaki, Mohammadreza</creatorcontrib><title>An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin</title><title>Skin research and technology</title><addtitle>Skin Res Technol</addtitle><description>Background
Optical coherence tomography (OCT) of skin delivers three‐dimensional images of tissue microstructures. Although OCT imaging offers a promising high‐resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components.
Method
Two speckle reduction methods (one based on artificial neural network and one based on spatial compounding), an attenuation compensation algorithm (based on Beer‐Lambert law) and a deblurring procedure (using deconvolution), are described. Moreover, optical properties extraction algorithm based on extended Huygens‐Fresnel (EHF) principle to obtain some additional information from OCT images are discussed.
Results
In this short overview, we summarize some of the image enhancement algorithms for OCT images which address the abovementioned artifacts. The results showed a significant improvement in the visibility of the clinically relevant features in the images. The quality improvement was evaluated using several numerical assessment measures.
Conclusion
Clinical dermatologists benefit from using these image enhancement algorithms to improve OCT diagnosis and essentially function as a noninvasive optical biopsy.</description><subject>Algorithms</subject><subject>Artificial neural networks</subject><subject>Biopsy</subject><subject>Blurring</subject><subject>blurring correction</subject><subject>Coherent light</subject><subject>Decay</subject><subject>Extremely high frequencies</subject><subject>Image enhancement</subject><subject>Image quality</subject><subject>intensity decay compensation</subject><subject>Light sources</subject><subject>Luminous intensity</subject><subject>Medical imaging</subject><subject>Neural networks</subject><subject>Optical Coherence Tomography</subject><subject>Optical components</subject><subject>Optical properties</subject><subject>Planet detection</subject><subject>Quality control</subject><subject>Reviews</subject><subject>Skin</subject><subject>speckle reduction</subject><subject>Tomography</subject><issn>0909-752X</issn><issn>1600-0846</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp10E1PGzEQBmALFZUAPfAHKktc4LDg7909RogvKRJSC1Jvrtc7mzjdXQfbAeXfY0jaA1LnMpdHr2ZehE4ouaB5LmNIF5QJxvfQhCpCClIJ9QVNSE3qopTs1wE6jHFJCJE15V_RAaup4ILVE_R7OmL_AuHFwSv2HR4gLXwbcfJ4cMnNTQJsQnKdsSlil_EqOWt6bP0CAowWMh38PJjVYoPdYOZunL8HpQXg-MeNx2i_M32Eb7t9hJ5urh-v7orZw-391XRWWF5VvGikqNpSloqpzjAuZAMWaEMqgLYCJtuubjhjbWNsqaSQVWeFykNZazpRGn6Ezra5q-Cf1xCTHly00PdmBL-OmtZKMkUoJZmefqJLvw5jvk4zwqSsOeMqq_OtssHHGKDTq5D_CxtNiX6vXefa9Uft2X7fJa6bAdp_8m_PGVxuwavrYfP_JP3zx-M28g2WYIx7</recordid><startdate>201805</startdate><enddate>201805</enddate><creator>Adabi, Saba</creator><creator>Fotouhi, Audrey</creator><creator>Xu, Qiuyun</creator><creator>Daveluy, Steve</creator><creator>Mehregan, Darius</creator><creator>Podoleanu, Adrian</creator><creator>Nasiriavanaki, Mohammadreza</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/0000-0002-1437-8456</orcidid></search><sort><creationdate>201805</creationdate><title>An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin</title><author>Adabi, Saba ; Fotouhi, Audrey ; Xu, Qiuyun ; Daveluy, Steve ; Mehregan, Darius ; Podoleanu, Adrian ; Nasiriavanaki, Mohammadreza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3883-b548d757626fa2345bece1b08eed8e25df9b322dbac765458fc4666612daf47a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Artificial neural networks</topic><topic>Biopsy</topic><topic>Blurring</topic><topic>blurring correction</topic><topic>Coherent light</topic><topic>Decay</topic><topic>Extremely high frequencies</topic><topic>Image enhancement</topic><topic>Image quality</topic><topic>intensity decay compensation</topic><topic>Light sources</topic><topic>Luminous intensity</topic><topic>Medical imaging</topic><topic>Neural networks</topic><topic>Optical Coherence Tomography</topic><topic>Optical components</topic><topic>Optical properties</topic><topic>Planet detection</topic><topic>Quality control</topic><topic>Reviews</topic><topic>Skin</topic><topic>speckle reduction</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Adabi, Saba</creatorcontrib><creatorcontrib>Fotouhi, Audrey</creatorcontrib><creatorcontrib>Xu, Qiuyun</creatorcontrib><creatorcontrib>Daveluy, Steve</creatorcontrib><creatorcontrib>Mehregan, Darius</creatorcontrib><creatorcontrib>Podoleanu, Adrian</creatorcontrib><creatorcontrib>Nasiriavanaki, Mohammadreza</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>Adabi, Saba</au><au>Fotouhi, Audrey</au><au>Xu, Qiuyun</au><au>Daveluy, Steve</au><au>Mehregan, Darius</au><au>Podoleanu, Adrian</au><au>Nasiriavanaki, Mohammadreza</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin</atitle><jtitle>Skin research and technology</jtitle><addtitle>Skin Res Technol</addtitle><date>2018-05</date><risdate>2018</risdate><volume>24</volume><issue>2</issue><spage>265</spage><epage>273</epage><pages>265-273</pages><issn>0909-752X</issn><eissn>1600-0846</eissn><abstract>Background
Optical coherence tomography (OCT) of skin delivers three‐dimensional images of tissue microstructures. Although OCT imaging offers a promising high‐resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components.
Method
Two speckle reduction methods (one based on artificial neural network and one based on spatial compounding), an attenuation compensation algorithm (based on Beer‐Lambert law) and a deblurring procedure (using deconvolution), are described. Moreover, optical properties extraction algorithm based on extended Huygens‐Fresnel (EHF) principle to obtain some additional information from OCT images are discussed.
Results
In this short overview, we summarize some of the image enhancement algorithms for OCT images which address the abovementioned artifacts. The results showed a significant improvement in the visibility of the clinically relevant features in the images. The quality improvement was evaluated using several numerical assessment measures.
Conclusion
Clinical dermatologists benefit from using these image enhancement algorithms to improve OCT diagnosis and essentially function as a noninvasive optical biopsy.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>29143429</pmid><doi>10.1111/srt.12423</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-1437-8456</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Artificial neural networks Biopsy Blurring blurring correction Coherent light Decay Extremely high frequencies Image enhancement Image quality intensity decay compensation Light sources Luminous intensity Medical imaging Neural networks Optical Coherence Tomography Optical components Optical properties Planet detection Quality control Reviews Skin speckle reduction Tomography |
title | An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin |
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