NDLI: A JAVA-based system for segmentation and analysis of retinal images

Content Provider	IEEE Xplore Digital Library
Author	Raman, B. Wilson, M. Benche, I. Soliz, P.
Copyright Year	2003
Description	Author affiliation: Kestrel Corp., Albuquerque, NM, USA (Raman, B.; Wilson, M.; Benche, I.; Soliz, P.)
Abstract	This paper presents a platform independent system, RetinaView, that is designed for manual analysis as well as automatic segmentation and characterization of multi-modality retinal images and videos. A user-friendly interface that allows display of individual retinal images in four or more windows has been designed for simultaneous viewing of multiple modalities in research-based retinal studies. A variety of tools have been developed for RetinaView, including automatic segmentation of retinal vasculature, segmentation of small vascular abnormalities found in early stages of diabetic retinopathy (microaneurysms), segmentation of drusen, lesions pathoneumonic of age related macular degeneration (ARMD), analysis of fluorescein and indocyanine green videos, and manual annotation capabilities and fovea location. This system will enable ophthalmological researchers, clinicians, ophthalmologists to study, diagnose, and monitor the progression of pathologies in retinal images with much greater precision than is possible with totally manual techniques. This paper presents an overview of the RetinaView system and gives examples of its application in segmentation of normal anatomical features as well as pathological lesions.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Computational Med. Mount Sinai School of Med. Dept. Anesthesiology Texas Tech. Univ. College of Eng
Starting Page	336
Ending Page	339
File Size	641208
Page Count	4
File Format	PDF
ISBN	0769519016
ISSN	10637125
DOI	10.1109/CBMS.2003.1212811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Java Image segmentation Image analysis Retina Videos Lesions Pathology Displays Diabetes Retinopathy
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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