Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT) intensity images
Standard optical coherence tomography (OCT) in combination with software tools can be harnessed to generate vascular maps in vivo. In this study we have successfully combined a software algorithm based on correlation statistic to reveal microcirculation morphology on OCT intensity images of a mouse...
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Veröffentlicht in: | Journal of biophotonics 2011-09, Vol.4 (9), p.583-587 |
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creator | Jonathan, Enock Enfield, Joey Leahy, Martin J. |
description | Standard optical coherence tomography (OCT) in combination with software tools can be harnessed to generate vascular maps in vivo. In this study we have successfully combined a software algorithm based on correlation statistic to reveal microcirculation morphology on OCT intensity images of a mouse brain in vivo captured trans‐cranially and through a cranial window. We were able to estimate vessel geometry at bifurcation as well as along vessel segments down‐to mean diameters of about 24 μm. Our technique has potential applications in cardiovascular‐related parameter measurements such as volumetric flow as well as in assessing vascular density of normal and diseased tissue. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim) |
doi_str_mv | 10.1002/jbio.201000103 |
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KGaA, Weinheim.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4813-c2c008b6e185f91e5dfb518b8f2d758c6a84029e4e712086a838ebb2931c52bd3</citedby><cites>FETCH-LOGICAL-c4813-c2c008b6e185f91e5dfb518b8f2d758c6a84029e4e712086a838ebb2931c52bd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjbio.201000103$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjbio.201000103$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21887769$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jonathan, Enock</creatorcontrib><creatorcontrib>Enfield, Joey</creatorcontrib><creatorcontrib>Leahy, Martin J.</creatorcontrib><title>Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT) intensity images</title><title>Journal of biophotonics</title><addtitle>J. Biophoton</addtitle><description>Standard optical coherence tomography (OCT) in combination with software tools can be harnessed to generate vascular maps in vivo. In this study we have successfully combined a software algorithm based on correlation statistic to reveal microcirculation morphology on OCT intensity images of a mouse brain in vivo captured trans‐cranially and through a cranial window. We were able to estimate vessel geometry at bifurcation as well as along vessel segments down‐to mean diameters of about 24 μm. Our technique has potential applications in cardiovascular‐related parameter measurements such as volumetric flow as well as in assessing vascular density of normal and diseased tissue. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)</description><subject>Algorithms</subject><subject>Animals</subject><subject>Brain - blood supply</subject><subject>Brain - metabolism</subject><subject>Brain - pathology</subject><subject>Cardiovascular System - metabolism</subject><subject>Cardiovascular System - pathology</subject><subject>correlation</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>imaging</subject><subject>Mice</subject><subject>Microcirculation</subject><subject>morphology</subject><subject>optical coherence tomography</subject><subject>Sensitivity and Specificity</subject><subject>Software</subject><subject>Tomography, Optical Coherence - methods</subject><issn>1864-063X</issn><issn>1864-0648</issn><issn>1864-0648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtP3DAUha2KqjzKlmXlHbDI4EcezrIzPAqMOpWgKjvLcW4ypkkc7Iwgm_72ejQw6oourHt9_Z0j-R6EjiiZUELY2WNh7ISR0IfDP6A9KtI4ImksdrY9f9hF-94_EpISnvBPaJdRIbIszffQn5l1Dho1GNvhVvW96WrcwrC0Ja6swzV04MLremq0s9o4vXrDreuXtrH1iCtnW2z7wWjVYG2X4KDTgAfb2tqpfjnik8Xs_hSbboDOm2HEplU1-M_oY6UaD4ev9QD9vLy4n32L5our69nXeaRjQXmkmSZEFClQkVQ5haSsioSKQlSszBKhUyViwnKIIaOMiHDlAoqC5ZzqhBUlP0DHG9_e2acV-EG2xmtoGtWBXXkZ1pEQmos4kCfvkpTQLM844Tygkw0a9uK9g0r2LnzLjQGS63TkOh25TScIvrx6r4oWyi3-FkcA8g3wbBoY_2Mnb6bXi3_No43W-AFetlrlfss041kif32_kun0bk7Of-Tylv8FCM-tOg</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Jonathan, Enock</creator><creator>Enfield, Joey</creator><creator>Leahy, Martin J.</creator><general>WILEY-VCH Verlag</general><general>WILEY‐VCH Verlag</general><scope>BSCLL</scope><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201109</creationdate><title>Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT) intensity images</title><author>Jonathan, Enock ; Enfield, Joey ; Leahy, Martin J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4813-c2c008b6e185f91e5dfb518b8f2d758c6a84029e4e712086a838ebb2931c52bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>Brain - blood supply</topic><topic>Brain - metabolism</topic><topic>Brain - pathology</topic><topic>Cardiovascular System - metabolism</topic><topic>Cardiovascular System - pathology</topic><topic>correlation</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>imaging</topic><topic>Mice</topic><topic>Microcirculation</topic><topic>morphology</topic><topic>optical coherence tomography</topic><topic>Sensitivity and Specificity</topic><topic>Software</topic><topic>Tomography, Optical Coherence - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jonathan, Enock</creatorcontrib><creatorcontrib>Enfield, Joey</creatorcontrib><creatorcontrib>Leahy, Martin J.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biophotonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jonathan, Enock</au><au>Enfield, Joey</au><au>Leahy, Martin J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT) intensity images</atitle><jtitle>Journal of biophotonics</jtitle><addtitle>J. Biophoton</addtitle><date>2011-09</date><risdate>2011</risdate><volume>4</volume><issue>9</issue><spage>583</spage><epage>587</epage><pages>583-587</pages><issn>1864-063X</issn><issn>1864-0648</issn><eissn>1864-0648</eissn><abstract>Standard optical coherence tomography (OCT) in combination with software tools can be harnessed to generate vascular maps in vivo. In this study we have successfully combined a software algorithm based on correlation statistic to reveal microcirculation morphology on OCT intensity images of a mouse brain in vivo captured trans‐cranially and through a cranial window. We were able to estimate vessel geometry at bifurcation as well as along vessel segments down‐to mean diameters of about 24 μm. Our technique has potential applications in cardiovascular‐related parameter measurements such as volumetric flow as well as in assessing vascular density of normal and diseased tissue. (© 2011 WILEY‐VCH Verlag GmbH & Co. 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subjects | Algorithms Animals Brain - blood supply Brain - metabolism Brain - pathology Cardiovascular System - metabolism Cardiovascular System - pathology correlation Image Processing, Computer-Assisted - methods imaging Mice Microcirculation morphology optical coherence tomography Sensitivity and Specificity Software Tomography, Optical Coherence - methods |
title | Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT) intensity images |
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