NDLI: A digital method of drusen quantification based on the geometry of fundus reflectance

Content Provider	IEEE Xplore Digital Library
Author	Smith, R.T. Chan, J.K. Nagasaki, T. Sparrow, J.R. Barbazetto, I. Klaver, C.C.W.
Copyright Year	2003
Description	Author affiliation: Dept. of Ophthalmology, Columbia Univ., New York, NY, USA (Smith, R.T.; Chan, J.K.; Nagasaki, T.; Sparrow, J.R.; Barbazetto, I.)
Abstract	An interactive semi-automated procedure was developed to level the macular background reflectance for the purpose of morphometric analysis of drusen. In this study, 10 color fundus photographs of patients with age related macular degeneration (AMD) and drusen were used. After digitizing the photographs, the underlying background pattern in the green channel was leveled by a stepwise algorithm based on a geometric model of reflectance in the normal fovea and parafovea. Segmentation of drusen and measurements were made in the central and middle subfields (1000 /spl mu/m diameter circle and 3000 /spl mu/m diameter annulus). Two graders independently applied the digital method to the ten cases. The mean digital measurements were compared to stereo fundus gradings by an expert grader. The absolute mean differences between the digital and stereo gradings were 2.4 +/- 2.8% in the middle subfield and 2.6 +/- 3.1% in the central subfield. Two digital graders using the software achieved comparable drusen measurements to stereo gradings. This technique for macular image analysis has the potential of being adopted in large clinical trials.
Sponsorship	Schering Plough Becton Dickinson Boston Scientific Reva
Starting Page	91
Ending Page	92
File Size	175111
Page Count	2
File Format	PDF
ISBN	0780377672
DOI	10.1109/NEBC.2003.1216007
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Reflectivity Image segmentation Pathology Testing Pixel Brightness Solid modeling Software measurement Image color analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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