NDLI: Measurement of retinal thickness for detection of Glaucoma

Content Provider	IEEE Xplore Digital Library
Author	Agrawal, P. Karule, P.T.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron., Yeshwantrao Chavan Coll. of Eng., Nagpur, India (Agrawal, P.; Karule, P.T.)
Abstract	The thickness of retinal nerve fibre layer (RNFL) is one of the parameters for assessing the Glaucoma. It is second largest disease which causes blindness. Glaucoma is caused due to the increase of intra ocular pressure (IOP). Vision is lost before the patient becomes aware of glaucoma. Optical Coherence Tomography (OCT) provides enhanced depth and clarity of viewing tissues with high resolution compared with other medical imaging device such as fundus camera or intravascular imaging. This paper presents an automatic method to find the thickness of RNFL using OCT images. The proposed algorithm first extracts all the layers present in the retina using Sobel operator and an algorithm is then developed. The thickness measurement of RNFL is automatically displayed based on pixel calculation. The calculated thickness values are compared with the original values obtained from hospital. The result shows that the proposed algorithm is efficient in segmenting the region of interest without manual intervention. The effectiveness of the proposed method is proved statistically by the performance analysis.
Starting Page	1
Ending Page	4
File Size	3100796
Page Count	4
File Format	PDF
e-ISBN	9781479949823
DOI	10.1109/ICGCCEE.2014.6922263
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical fibers Glaucoma Sobel operator Image segmentation Biomedical optical imaging Intra ocular pressure (IOP) Segmentation Tomography Retinal nerve fiber layer (RNFL) Retina Optical imaging Thickness measurement
Content Type	Text
Resource Type	Article

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