NDLI: Detection of neovascularization in the optic disc using an AM-FM representation, granulometry, and vessel segmentation

Content Provider	IEEE Xplore Digital Library
Author	Agurto, C. Honggang Yu Murray, V. Pattichis, M.S. Barriga, S. Bauman, W. Soliz, P.
Copyright Year	2012
Description	Author affiliation: VisionQuest Biomed. LLC, Albuquerque, NM, USA (Honggang Yu; Barriga, S.; Soliz, P.) \|\| Electr. & Comput. Eng. Dept., Univ. of New Mexico, Albuquerque, NM, USA (Agurto, C.; Murray, V.; Pattichis, M.S.) \|\| Retinal Inst. of South Texas, San Antonio, TX, USA (Bauman, W.)
Abstract	Neovascularization, defined as abnormal formation of blood vessels in the retina, is a sight-threatening condition indicative of late-stage diabetic retinopathy (DR). Ischemia due to leakage of blood vessels causes the body to produce new and weak vessels that can lead to complications such as vitreous hemorrhages. Neovascularization on the disc (NVD) is diagnosed when new vessels are located within one disc-diameter of the optic disc. Accurately detecting NVD is important in preventing vision loss due to DR. This paper presents a method for detecting NVD in digital fundus images. First, a region of interest (ROI) containing the optic disc is manually selected from the image. By adaptively combining contrast enhancement methods with a vessel segmentation technique, the ROI is reduced to the regions indicated by the segmented vessels. Textural features extracted by using amplitude-modulation frequency-modulation (AM-FM) techniques and granulometry are used to differentiate NVD from a normal optic disc. Partial least squares is used to perform the final classification. Leave-one-out cross-validation was used to evaluate the performance of the system with 27 NVD and 30 normal cases. We obtained an area under the receiver operator characteristic curve (AUC) of 0.85 by using all features, increasing to 0.94 with feature selection.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	4946
Ending Page	4949
File Size	1156027
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Optical imaging Manuals Retina Frequency modulation Histograms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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