ODTiD: Optic Nerve Head SD-OCT Image Dataset

Janarthanam Jothi Balaji,1 Vasudevan Lakshminarayanan2 1Department of Optometry, Medical Research Foundation, Chennai, Tamil Nadu, 600006, India; 2Theoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, N2L 3G1, CanadaCorrespo...

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Autores principales:	Jothi Balaji J, Lakshminarayanan V
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	optic disc tilt high myopia image segmentation image database ophthalmology optical coherence tomography Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/1c6b9c653859413c86f68408c4c28fc5
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spelling	oai:doaj.org-article:1c6b9c653859413c86f68408c4c28fc52021-12-02T19:36:08ZODTiD: Optic Nerve Head SD-OCT Image Dataset1177-5483https://doaj.org/article/1c6b9c653859413c86f68408c4c28fc52021-10-01T00:00:00Zhttps://www.dovepress.com/odtid-optic-nerve-head-sd-oct-image-dataset-peer-reviewed-fulltext-article-OPTHhttps://doaj.org/toc/1177-5483Janarthanam Jothi Balaji,1 Vasudevan Lakshminarayanan2 1Department of Optometry, Medical Research Foundation, Chennai, Tamil Nadu, 600006, India; 2Theoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, N2L 3G1, CanadaCorrespondence: Janarthanam Jothi BalajiDepartment of Optometry, Medical Research Foundation, Chennai, Tamil Nadu, 600006, IndiaTel +91-44-4227-1500Fax +91-44-2825-4180Email jothibalaji@gmail.comIntroduction: Optic disc tilt (ODT) or tilted optic disc is a common finding in the general population. It is due to anomalous development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions. In recent days, the common method to image the optic disc (OD) is by optical coherence tomography (OCT). To the best of our knowledge, there are no datasets of ODT available in the public domain. This dataset aims to make open access raw ODT OCT images to test out new image processing segmentation algorithms.Methods: This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using spectral-domain optical coherence tomography (SD-OCT, Cirrus 5000, Carl Zeiss Meditec Inc., Dublin, CA). The optic disc cube 200× 200 program was used and all the images are aligned with the center of the optic nerve head. This dataset includes images from both clinically normal (20 eyes) and myopic subjects (101 eyes).Results: The dataset consists of clear (121) and manually marked (121) images resulting in a total of 242 images. The age distribution for all subjects combined is 27.24 ± 9.28 (range, 11.0– 69.0) years. For normal subjects mean ± SD age distribution is 32.40 ± 17.23 years. Similarly, the myopia age distribution is 26.22 ± 6.37 years. Ground truth images, ie, manually segmented by a clinical expert are provided along with other meta-data includes age, gender, laterality, refractive error classification, spherical equivalent (SE), best-corrected visual acuity (BCVA), intraocular pressure (IOP), and axial length (AXL).Conclusion: This open, public database is online at the ICPSR website of the University of Michigan. The dataset can be used to test and validate newly developed automated segmentation algorithms.Keywords: optic disc tilt, high myopia, image segmentation, image database, ophthalmology, optical coherence tomographyJothi Balaji JLakshminarayanan VDove Medical Pressarticleoptic disc tilthigh myopiaimage segmentationimage databaseophthalmologyoptical coherence tomographyOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 15, Pp 4239-4245 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	optic disc tilt high myopia image segmentation image database ophthalmology optical coherence tomography Ophthalmology RE1-994
spellingShingle	optic disc tilt high myopia image segmentation image database ophthalmology optical coherence tomography Ophthalmology RE1-994 Jothi Balaji J Lakshminarayanan V ODTiD: Optic Nerve Head SD-OCT Image Dataset
description	Janarthanam Jothi Balaji,1 Vasudevan Lakshminarayanan2 1Department of Optometry, Medical Research Foundation, Chennai, Tamil Nadu, 600006, India; 2Theoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, N2L 3G1, CanadaCorrespondence: Janarthanam Jothi BalajiDepartment of Optometry, Medical Research Foundation, Chennai, Tamil Nadu, 600006, IndiaTel +91-44-4227-1500Fax +91-44-2825-4180Email jothibalaji@gmail.comIntroduction: Optic disc tilt (ODT) or tilted optic disc is a common finding in the general population. It is due to anomalous development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions. In recent days, the common method to image the optic disc (OD) is by optical coherence tomography (OCT). To the best of our knowledge, there are no datasets of ODT available in the public domain. This dataset aims to make open access raw ODT OCT images to test out new image processing segmentation algorithms.Methods: This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using spectral-domain optical coherence tomography (SD-OCT, Cirrus 5000, Carl Zeiss Meditec Inc., Dublin, CA). The optic disc cube 200× 200 program was used and all the images are aligned with the center of the optic nerve head. This dataset includes images from both clinically normal (20 eyes) and myopic subjects (101 eyes).Results: The dataset consists of clear (121) and manually marked (121) images resulting in a total of 242 images. The age distribution for all subjects combined is 27.24 ± 9.28 (range, 11.0– 69.0) years. For normal subjects mean ± SD age distribution is 32.40 ± 17.23 years. Similarly, the myopia age distribution is 26.22 ± 6.37 years. Ground truth images, ie, manually segmented by a clinical expert are provided along with other meta-data includes age, gender, laterality, refractive error classification, spherical equivalent (SE), best-corrected visual acuity (BCVA), intraocular pressure (IOP), and axial length (AXL).Conclusion: This open, public database is online at the ICPSR website of the University of Michigan. The dataset can be used to test and validate newly developed automated segmentation algorithms.Keywords: optic disc tilt, high myopia, image segmentation, image database, ophthalmology, optical coherence tomography
format	article
author	Jothi Balaji J Lakshminarayanan V
author_facet	Jothi Balaji J Lakshminarayanan V
author_sort	Jothi Balaji J
title	ODTiD: Optic Nerve Head SD-OCT Image Dataset
title_short	ODTiD: Optic Nerve Head SD-OCT Image Dataset
title_full	ODTiD: Optic Nerve Head SD-OCT Image Dataset
title_fullStr	ODTiD: Optic Nerve Head SD-OCT Image Dataset
title_full_unstemmed	ODTiD: Optic Nerve Head SD-OCT Image Dataset
title_sort	odtid: optic nerve head sd-oct image dataset
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/1c6b9c653859413c86f68408c4c28fc5
work_keys_str_mv	AT jothibalajij odtidopticnerveheadsdoctimagedataset AT lakshminarayananv odtidopticnerveheadsdoctimagedataset
_version_	1718376368685711360

ODTiD: Optic Nerve Head SD-OCT Image Dataset

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