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[用于视网膜血管直径自动测量的自适应算法]

[Adaptive algorithm for automatic measurement of retinal vascular diameter].

作者信息

Münch K, Vilser W, Senff I

机构信息

Augenklinik des Klinikums, Friedrich-Schiller-Universität Jena.

出版信息

Biomed Tech (Berl). 1995 Nov;40(11):322-5.

PMID:8580285
Abstract

A new adaptive computer-aided method for the measurement of blood vessel diameters has been developed. Within areas of interest in the image, the algorithm detects, line-wise, the edges of the vessels, which are then used for image-wise approximation and noise filtration. A high level of adaptivity with respect to numerous measuring parameters ensures its use in a wide range of applications. Thus, it has been shown to significantly improve clinically relevant reproducibility in the area of follow-up observations. The standard deviation for vessel diameter was (2.2 +/- 0.7)% in the case of arteries and (1.8 +/- 0.5)% in the case of veins. Testing the algorithm in images of poor quality revealed its high level of reliability and sensitivity.

摘要

一种用于测量血管直径的新型自适应计算机辅助方法已被开发出来。在图像的感兴趣区域内,该算法逐行检测血管边缘,然后将其用于图像级别的近似和噪声过滤。对众多测量参数的高度适应性确保了它能在广泛的应用中使用。因此,在随访观察领域,它已被证明能显著提高临床相关的可重复性。动脉血管直径的标准差为(2.2±0.7)%,静脉血管直径的标准差为(1.8±0.5)%。在质量较差的图像中测试该算法,结果显示出其高度的可靠性和敏感性。

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