Artery and vein diameter ratio measurement based on improvement of arteries and veins segmentation on retinal images
Artery and vein diameter ratio measurement based on improvement of arteries and veins segmentation on retinal images
复制标题
基于视网膜图像动静脉分割改进的动静脉直径比测量
DOI：
10.1109/embc.2016.7590954
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
and H. Fujita
中科院分区：
文献类型：
--
作者：
Y. Hatanaka;H. Tachiki;K. Ogohara;C. Muramatsu;S. Okumura;and H. Fujita
根据动静脉直径比（AVR）确定视网膜小动脉的狭窄程度。以往的方法是利用血管中心线上的彩色像素对血管进行分割，并对动脉和静脉进行分类。通过测量动脉和静脉直径确定AVR。然而，这种入路对于动脉与静脉紧密接触的病例是不够的。本文提出了一种基于新的动静脉分类的AVR测量算法。在该算法中，增加了用于精确分割动脉和静脉的额外步骤，这些步骤是使用以前的方法无法识别的，以更好地识别彩色图像红色通道中的主要静脉。为了识别大动脉，使用了具有三个特征的决策树。结果，所有大静脉和90.9%的大动脉被正确识别，avr的绝对平均误差为0.12。在临床应用之前，该方法需要更多的小动脉狭窄图像进行进一步的测试。
Retinal arteriolar narrowing is decided based on the artery and vein diameter ratio (AVR). Previous methods segmented blood vessels and classified arteries and veins by color pixels in the centerlines of blood vessels. AVR was definitively determined through measurement of artery and vein diameters. However, this approach was not sufficient for cases with close contact between the artery of interest and an imposing vein. Here, an algorithm for AVR measurement via new classification of arteries and veins is proposed. In this algorithm, additional steps for an accurate segmentation of arteries and veins, which were not identified using the previous method, have been added to better identify major veins in the red channel of a color image. To identify major arteries, a decision tree with three features was used. As a result, all major veins and 90.9% of major arteries were correctly identified, and the absolute mean error in AVRs was 0.12. The proposed method will require further testing with a greater number of images of arteriolar narrowing before clinical application.