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Optical Engineering

Computer-aided diagnostic detection system of venous beading in retinal images
Author(s): Ching-Wen Yang; DyeJyun Ma; ShuennChing Chao; Chuin-Mu Wang; Chia-Hsien Wen; ChienShun Lo; Pau-Choo Chung; Chein-I Chang
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Paper Abstract

The detection of venous beading in retinal images provides an early sign of diabetic retinopathy and plays an important role as a preprocessing step in diagnosing ocular diseases. We present a computer-aided diagnostic system to automatically detect venous beading of blood vessels. It comprises of two modules, referred to as the blood vessel extraction module (BVEM) and the venus beading detection module (VBDM). The former uses a bell-shaped Gaussian kernel with 12 azimuths to extract blood vessels while the latter applies a neural network-based shape cognitron to detect venous beading among the extracted blood vessels for diagnosis. Both modules are fully computer- automated. To evaluate the proposed system, 61 retinal images (32 beaded and 29 normal images) are used for performance evaluation.

Paper Details

Date Published: 1 May 2000
PDF: 11 pages
Opt. Eng. 39(5) doi: 10.1117/1.602487
Published in: Optical Engineering Volume 39, Issue 5
Show Author Affiliations
Ching-Wen Yang, Taichung Veterans General Hospital (Taiwan)
DyeJyun Ma, National Chung-Hsing Univ. (Taiwan)
ShuennChing Chao, National Chung-Hsing Univ. (Taiwan)
Chuin-Mu Wang, National Cheng-Kung University (Taiwan)
Chia-Hsien Wen, National Tsing Hua Univ. (Taiwan)
ChienShun Lo, National Cheng-Kung University (Taiwan)
Pau-Choo Chung, National Cheng Kung Univ. (Taiwan)
Chein-I Chang, Univ. of Maryland/Baltimore County (United States)


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