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Automatic Tracking of Retinal Vessels by Analyzing Local Feature Points in IndoCyanine Green Retinal Images  

Lim, Moon-Chul (Dept.of Computer Science, Kwangwoon University)
Kim, Woo-Saeng (Dept.of Computer Science, Kwangwoon University)
Publication Information
Journal of KIISE:Software and Applications / v.29, no.3, 2002 , pp. 202-210 More about this Journal
Abstract
During the last few years, the extraction and reconstruction of the blood vessels in the medical image has been actively researched and the analysis for the retinal vessel structure has provided important information for diagnosis and remedy of the retinopathy patients. In this research, we propose the algorithm that tracks automatically the entire retinal vessel in retinal image acquired by the ICG(IndoCyanine Green) technology. This algorithm extracts contours and centers by estimating the local maxima and processing directions and detects bifurcations and junctions by comparing direction components of the local maxima from the gradient magnitude profile of each blood vessel. We present experimental results that the entire blood vessel is automatically reconstructed and is excellent in accuracy and connectivity after applying our algorithm to the ICG retinal images of patients.
Keywords
Vessels tracking; Gradient magnitude profile; retinal image;
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