Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina

Abstract Comparing automated retinal layer segmentation using proprietary software (Heidelberg Spectralis HRA + OCT) and cross-platform Optical Coherence Tomography (OCT) segmentation software (Orion). Image segmentations of normal and diseased (iAMD, DME) eyes were performed using both softwares an...

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Autores principales:	Varsha Alex, Tahmineh Motevasseli, William R. Freeman, Jefy A. Jayamon, Dirk-Uwe G. Bartsch, Shyamanga Borooah
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a055deeebdab41cda94b64eb0e243df8
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spelling	oai:doaj.org-article:a055deeebdab41cda94b64eb0e243df82021-11-14T12:22:16ZAssessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina10.1038/s41598-021-01105-92045-2322https://doaj.org/article/a055deeebdab41cda94b64eb0e243df82021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01105-9https://doaj.org/toc/2045-2322Abstract Comparing automated retinal layer segmentation using proprietary software (Heidelberg Spectralis HRA + OCT) and cross-platform Optical Coherence Tomography (OCT) segmentation software (Orion). Image segmentations of normal and diseased (iAMD, DME) eyes were performed using both softwares and then compared to the ‘gold standard’ of manual segmentation. A qualitative assessment and quantitative (layer volume) comparison of segmentations were performed. Segmented images from the two softwares were graded by two masked graders and in cases with difference, a senior retina specialist made a final independent decisive grading. Cross-platform software was significantly better than the proprietary software in the segmentation of NFL and INL layers in Normal eyes. It generated significantly better segmentation only for NFL in iAMD and for INL and OPL layers in DME eyes. In normal eyes, all retinal layer volumes calculated by the two softwares were moderate-strongly correlated except OUTLY. In iAMD eyes, GCIPL, INL, ONL, INLY, TRV layer volumes were moderate-strongly correlated between softwares. In eyes with DME, all layer volume values were moderate-strongly correlated between softwares. Cross-platform software can be used reliably in research settings to study the retinal layers as it compares well against manual segmentation and the commonly used proprietary software for both normal and diseased eyes.Varsha AlexTahmineh MotevasseliWilliam R. FreemanJefy A. JayamonDirk-Uwe G. BartschShyamanga BorooahNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Varsha Alex Tahmineh Motevasseli William R. Freeman Jefy A. Jayamon Dirk-Uwe G. Bartsch Shyamanga Borooah Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina
description	Abstract Comparing automated retinal layer segmentation using proprietary software (Heidelberg Spectralis HRA + OCT) and cross-platform Optical Coherence Tomography (OCT) segmentation software (Orion). Image segmentations of normal and diseased (iAMD, DME) eyes were performed using both softwares and then compared to the ‘gold standard’ of manual segmentation. A qualitative assessment and quantitative (layer volume) comparison of segmentations were performed. Segmented images from the two softwares were graded by two masked graders and in cases with difference, a senior retina specialist made a final independent decisive grading. Cross-platform software was significantly better than the proprietary software in the segmentation of NFL and INL layers in Normal eyes. It generated significantly better segmentation only for NFL in iAMD and for INL and OPL layers in DME eyes. In normal eyes, all retinal layer volumes calculated by the two softwares were moderate-strongly correlated except OUTLY. In iAMD eyes, GCIPL, INL, ONL, INLY, TRV layer volumes were moderate-strongly correlated between softwares. In eyes with DME, all layer volume values were moderate-strongly correlated between softwares. Cross-platform software can be used reliably in research settings to study the retinal layers as it compares well against manual segmentation and the commonly used proprietary software for both normal and diseased eyes.
format	article
author	Varsha Alex Tahmineh Motevasseli William R. Freeman Jefy A. Jayamon Dirk-Uwe G. Bartsch Shyamanga Borooah
author_facet	Varsha Alex Tahmineh Motevasseli William R. Freeman Jefy A. Jayamon Dirk-Uwe G. Bartsch Shyamanga Borooah
author_sort	Varsha Alex
title	Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina
title_short	Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina
title_full	Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina
title_fullStr	Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina
title_full_unstemmed	Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina
title_sort	assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a055deeebdab41cda94b64eb0e243df8
work_keys_str_mv	AT varshaalex assessingthevalidityofacrossplatformretinalimagesegmentationtoolinnormalanddiseasedretina AT tahminehmotevasseli assessingthevalidityofacrossplatformretinalimagesegmentationtoolinnormalanddiseasedretina AT williamrfreeman assessingthevalidityofacrossplatformretinalimagesegmentationtoolinnormalanddiseasedretina AT jefyajayamon assessingthevalidityofacrossplatformretinalimagesegmentationtoolinnormalanddiseasedretina AT dirkuwegbartsch assessingthevalidityofacrossplatformretinalimagesegmentationtoolinnormalanddiseasedretina AT shyamangaborooah assessingthevalidityofacrossplatformretinalimagesegmentationtoolinnormalanddiseasedretina
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Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina

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