AUTOMATED GRADING OF VENOUS BEADING
AUTOMATED GRADING OF VENOUS BEADING
复制标题
DOI：
10.1006/cbmr.1995.1020
复制
发表时间：
1995-08-01
期刊：
影响因子：
--
通讯作者：
KOZOUSEK, V
中科院分区：
文献类型：
--
作者：
GREGSON, PH;SHEN, Z;KOZOUSEK, V
眼底图像中静脉串珠的程度已被证明是一个比任何其他类型的视网膜异常更有力的预测因素。此外，静脉串珠的程度已被证明与疾病进展密切相关。描述了一种用于数字化眼底图像中静脉串珠自动分级的算法。阈值法用于提取静脉的粗略轮廓。形态学闭合是用来填补轮廓中任何由中央光反射或噪声引起的空洞。然后将轮廓“变薄”以找到静脉中心线。每个中心线被划分为32像素的固定长度段。借助局部中心线取向，测量静脉直径作为沿每段距离的函数。然后对得到的直径数据进行内插和重新采样，以恒定的采样间隔生成直径数据。对所得数据进行快速傅里叶变换，确定脉段直径的幅度谱。根据静脉直径频率分量的分布计算出静脉串珠指数。在51个受试者的试点临床研究中，将新算法的性能与目前接受的人工分级的临床实践进行了比较。该算法表现良好。(C) 1995学术出版社，Inc。
The degree of venous beading in ocular fundus images has been shown to be a more powerful predictor of conversion to proliferative diabetic retinopathy than any other type of retinal abnormality. Further, the degree of venous beading has been shown to be well correlated with disease progression. An algorithm for automated grading of venous beading in digitized ocular fundus images is described. Thresholding is used to extract a rough silhouette of the vein. Morphological closing is used to fill any holes in the silhouette arising from either the central light reflex or noise. The silhouette is then ''thinned'' to find vein centerlines. Each centerline is partitioned into fixed-length segments of 32 pixels. Vein diameters are measured as a function of distance along each segment with the aid of the local centerline orientations. The resulting diameter data are then interpolated and resampled to generate diameter data at constant sampling intervals. A fast Fourier transform is performed on the resulting data to determine the magnitude spectrum of vein segment diameter. A venous beading index is calculated from the distribution of vein diameter frequency components. Performance of the new algorithm is compared to the currently accepted clinical practice of manual grading in a pilot clinical study of 51 subjects. The algorithm is seen to perform well. (C) 1995 Academic Press, Inc.