NDLI: Automated glaucoma detection using retinal layers segmentation and optic cup-to-disc ratio in optical coherence tomography images

Content Provider	IET Digital Library
Author	Ramzan, Aneeqa Akram, Muhammad Usman Shaukat, Arslan Khawaja, Sajid Gul Yasin, Ubaid Ullah Butt, Wasi Haider
Abstract	Glaucoma is a blindness causing eye disease if not treated in time and caused by the increase in the cup-to-disc region (CDR). A novel method for extraction of the inner limiting membrane (ILM) and retinal pigment epithelium (RPE) layers from optical coherence tomography scans is proposed. A new colour channels mean based quality assessment step is applied to segment out ILM layer for different quality images. During RPE segmentation, a new ‘centroid based thresholding’ method is proposed to remove extended ILM regions. The method uses both the ILM layer and RPE breakpoints for a cup and disc calculation, respectively. A novel criterion for horizontal/flat cup diameter based on the average RPE break points is proposed. Based on calculated CDRs, the system classifies the subject as normal or glaucomatous. The average sensitivity, accuracy, and specificity of the proposed system are 87, 79 and 72%, respectively, on the Armed Forces Institute of Ophthalmology dataset when correlated with clinical annotations and CDR computer generated values. The proposed system has shown the higher correlated result of 92.59% sensitivity with the senior most ophthalmologists. It promotes the e-health field at the retinal level and employed as the decision support system by the young doctors.
Starting Page	409
Ending Page	420
Page Count	12
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 3, Feb (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5396
Journal	IET Image Processing
Publisher Date	2018-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Anatomy And Optics of The Eye Automated Glaucoma Detection Average RPE Break Points Biology And Medical Computing Biomedical Imaging/measurement Biomedical Measurement And Imaging Biomedical Optical Imaging Colour Channel Computer Vision And Image Processing Technique Cup-to-disc Region Different Quality Image Disc Calculation Diseases Excessive Intraocular Pressure Eye Eye Disease Glaucoma Presence Horizontal/flat Cup Diameter ILM Layer ILM Region Image Segmentation Medical Disorders Medical Image Processing Nerve Structure And Function Optic Cup-to-disc Ratio Optic Disc Region Optical And Laser Radiation Optical Coherence Tomography Image Optical Coherence Tomography Scans Optical Tomography Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Physiology of The Eye Quality Assessment Step Retinal Layer Segmentation Retinal Level RPE BreakPoint RPE Segmentation Segment Statistics Succession Thresholding Method Vision Defects
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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