Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.

<h4>Introduction</h4>The diagnostic potential of optical coherence tomography (OCT) in neurological diseases is intensively discussed. Besides the sectional view of the retina, modern OCT scanners produce a simultaneous top-view confocal scanning laser ophthalmoscopy (cSLO) image includi...

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Autores principales:	Jeremias Motte, Florian Alten, Carina Ewering, Nani Osada, Ella M Kadas, Alexander U Brandt, Timm Oberwahrenbrock, Christoph R Clemens, Nicole Eter, Friedemann Paul, Martin Marziniak
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/93343e281c354116a2533553e9121d85
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spelling	oai:doaj.org-article:93343e281c354116a2533553e9121d852021-11-25T06:01:19ZVessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.1932-620310.1371/journal.pone.0102034https://doaj.org/article/93343e281c354116a2533553e9121d852014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0102034https://doaj.org/toc/1932-6203<h4>Introduction</h4>The diagnostic potential of optical coherence tomography (OCT) in neurological diseases is intensively discussed. Besides the sectional view of the retina, modern OCT scanners produce a simultaneous top-view confocal scanning laser ophthalmoscopy (cSLO) image including the option to evaluate retinal vessels. A correct discrimination between arteries and veins (labeling) is vital for detecting vascular differences between healthy subjects and patients. Up to now, criteria for labeling (cSLO) images generated by OCT scanners do not exist.<h4>Objective</h4>This study reviewed labeling criteria originally developed for color fundus photography (CFP) images.<h4>Methods</h4>The criteria were modified to reflect the cSLO technique, followed by development of a protocol for labeling blood vessels. These criteria were based on main aspects such as central light reflex, brightness, and vessel thickness, as well as on some additional criteria such as vascular crossing patterns and the context of the vessel tree.<h4>Results and conclusion</h4>They demonstrated excellent inter-rater agreement and validity, which seems to indicate that labeling of images might no longer require more than one rater. This algorithm extends the diagnostic possibilities offered by OCT investigations.Jeremias MotteFlorian AltenCarina EweringNani OsadaElla M KadasAlexander U BrandtTimm OberwahrenbrockChristoph R ClemensNicole EterFriedemann PaulMartin MarziniakPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 9, p e102034 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jeremias Motte Florian Alten Carina Ewering Nani Osada Ella M Kadas Alexander U Brandt Timm Oberwahrenbrock Christoph R Clemens Nicole Eter Friedemann Paul Martin Marziniak Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.
description	<h4>Introduction</h4>The diagnostic potential of optical coherence tomography (OCT) in neurological diseases is intensively discussed. Besides the sectional view of the retina, modern OCT scanners produce a simultaneous top-view confocal scanning laser ophthalmoscopy (cSLO) image including the option to evaluate retinal vessels. A correct discrimination between arteries and veins (labeling) is vital for detecting vascular differences between healthy subjects and patients. Up to now, criteria for labeling (cSLO) images generated by OCT scanners do not exist.<h4>Objective</h4>This study reviewed labeling criteria originally developed for color fundus photography (CFP) images.<h4>Methods</h4>The criteria were modified to reflect the cSLO technique, followed by development of a protocol for labeling blood vessels. These criteria were based on main aspects such as central light reflex, brightness, and vessel thickness, as well as on some additional criteria such as vascular crossing patterns and the context of the vessel tree.<h4>Results and conclusion</h4>They demonstrated excellent inter-rater agreement and validity, which seems to indicate that labeling of images might no longer require more than one rater. This algorithm extends the diagnostic possibilities offered by OCT investigations.
format	article
author	Jeremias Motte Florian Alten Carina Ewering Nani Osada Ella M Kadas Alexander U Brandt Timm Oberwahrenbrock Christoph R Clemens Nicole Eter Friedemann Paul Martin Marziniak
author_facet	Jeremias Motte Florian Alten Carina Ewering Nani Osada Ella M Kadas Alexander U Brandt Timm Oberwahrenbrock Christoph R Clemens Nicole Eter Friedemann Paul Martin Marziniak
author_sort	Jeremias Motte
title	Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.
title_short	Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.
title_full	Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.
title_fullStr	Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.
title_full_unstemmed	Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.
title_sort	vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/93343e281c354116a2533553e9121d85
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Vessel labeling in combined confocal scanning laser ophthalmoscopy and optical coherence tomography images: criteria for blood vessel discrimination.

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