NDLI: Practical considerations for optic nerve location in telemedicine

Content Provider	IEEE Xplore Digital Library
Author	Karnowski, T.P. Aykac, D. Chaum, E. Giancardo, L. Li, Y. Tobin, K.W. Abramoff, M.D.
Copyright Year	2009
Description	Author affiliation: University of Tennessee Health Science Center, 930 Madison Avenue, Suite 731, Memphis TN 38163 (Chaum, E.; Li, Y.) \|\| Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, IA 52242 USA and also with the Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 55242 USA (Abramoff, M.D.) \|\| Oak Ridge National Laboratory, Oak Ridge, TN 37831 USA (Karnowski, T.P.; Aykac, D.; Giancardo, L.; Tobin, K.W.)
Abstract	The projected increase in diabetes in the United States and worldwide has created a need for broad-based, inexpensive screening for diabetic retinopathy (DR), an eye disease which can lead to vision impairment. A telemedicine network with retina cameras and automated quality control, physiological feature location, and lesion / anomaly detection is a low-cost way of achieving broad-based screening. In this work we report on the effect of quality estimation on an optic nerve (ON) detection method with a confidence metric. We report on an improvement of the method using a data set from an ophthalmologist practice then show the results of the method as a function of image quality on a set of images from an on-line telemedicine network collected in Spring 2009 and another broad-based screening program. We show that the fusion method, combined with quality estimation processing, can improve detection performance and also provide a method for utilizing a physician-in-the-loop for images that may exceed the capabilities of automated processing.
Starting Page	6205
Ending Page	6209
File Size	916824
Page Count	5
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334626
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telemedicine Optical network units Diabetes Retinopathy Diseases Retina Cameras Quality control Lesions Optical detectors
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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