Quantification and characterisation of arteries in retinal images

被引:46
作者
Gao, XHW
Bharath, A
Stanton, A
Hughes, A
Chapman, N
Thom, S
机构
[1] St Marys, Imperial Coll Sch Med, London W2 1NY, England
[2] Univ London Imperial Coll Sci Technol & Med, Ctr Biol & Med Syst, London, England
基金
英国医学研究理事会;
关键词
retinal image; vessel segmentation; vessel geometry; vessel diameter; centre of the bifurcation; image processing; mathematical morphology; Gaussian function;
D O I
10.1016/S0169-2607(00)00082-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A computerised system is presented for the automatic quantification of blood vessel topography in retinal images. This system utilises digital image processing techniques to provide more reliable and comprehensive information for the retinal vascular network. It applies strategies and algorithms for measuring vascular trees and includes methods for locating the centre of a bifurcation, detecting vessel branches, estimating vessel diameter, and calculating angular geometry at a bifurcation. The performance of the system is studied by comparison with manual measurements and by comparing measurements between red-free images and fluorescein images. In general an acceptable degree of accuracy and precision was seen for all measurements, although the system had difficulty dealing with very noisy images and small or especially tortuous blood vessels. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved.
引用
收藏
页码:133 / 146
页数:14
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