NDLI: Automated layer segmentation of optical coherence tomography images

Content Provider	IEEE Xplore Digital Library
Author	Qing Dai Yan Sun
Copyright Year	2011
Description	Author affiliation: School of Software, Shanghai Jiao Tong University, Shanghai, P.R China (Qing Dai; Yan Sun)
Abstract	OCT images have now become a very popular topic in the field of image processing. By measuring the retinal nerve fiber layer thickness, such diseases like glaucoma or cataract can be diagnosed. An automated boundary segmentation algorithm is proposed for fast and reliable quantification of six intra-retinal boundaries in optical coherence tomography (OCT) images. The algorithm includes four steps. First of all, the image will be filtered by a bilateral filter which suppress the local image noise but keep the global image variation across the retinal layer boundary. Secondly, the image will be cut into several nonvessel sections according to the retinal blood vessels. Thirdly, segmentations in different layers based on gradient information are utilized. In the end, a shortest path search is applied to optimize the edge selection. The segmentation algorithm was validated with independent manual segmentation and demonstrates high accuracy and reproducibility in segmenting normal OCT volumes.
Starting Page	142
Ending Page	146
File Size	606361
Page Count	5
File Format	PDF
ISBN	9781424493517
e-ISBN	9781424493524
DOI	10.1109/BMEI.2011.6098329
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical filters Image segmentation bilateral smooth Biomedical optical imaging shortest path search Filtering Image edge detection gradient information Retina Optical imaging OCT images
Content Type	Text
Resource Type	Article

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