A model based method for retinal blood vessel detection

被引：125
|
作者：
Vermeer, KA
Vos, FM
Lemij, HG
Vossepoel, AM
机构：
[1] Delft Univ Technol, Pattern Recognit Grp, NL-2628 CJ Delft, Netherlands
[2] Rotterdam Eye Hosp, NL-3011 BH Rotterdam, Netherlands
[3] Acad Med Ctr, Dept Radiol, NL-1100 DD Amsterdam, Netherlands
来源：
COMPUTERS IN BIOLOGY AND MEDICINE | 2004年 / 34卷 / 03期
关键词：
blood vessel detection; specular reflection; Laplace; thresholding; retinal nerve fiber layer; scanning laser polarimetry;
D O I：
10.1016/S0010-4825(03)00055-6
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Retinal blood vessels are important structures in ophthalmological images. Many detection methods are available, but the results are not always satisfactory. In this paper, we present a novel model based method for blood vessel detection in retinal images. It is based on a Laplace and thresholding segmentation step, followed by a classification step to improve performance. The last step assures incorporation of the inner part of large vessels with specular reflection. The method gives a sensitivity of 92% with a specificity of 91%. The method can be optimized for the specific properties of the blood vessels in the image and it allows for detection of vessels that appear to be split due to specular reflection. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码：209 / 219
页数：11
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