Clinical Ophthalmology (Oct 2021)
ODTiD: Optic Nerve Head SD-OCT Image Dataset
Abstract
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 [email protected]: 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
