一种糖尿病性眼底静脉串珠状变形程度定量分析方法

A Robust Method for Automated Detection and Grading of Retinal Venous Beading in Diabetes Mellitus

糖尿病性眼底静脉串珠状变形程度ＶＢＤ（Ｖｅｎｏｕｓ Ｂｅａｄｉｎｇ Ｄｅｇｒｅｅ）的定量分析，对糖尿病的无损诊断及预后估计具有十分重要的临床价值。采用三种算法对静脉管径进行自动获取。１基于ＳＥＤ、ＲＯＳＥ、修正ＬｏＧ 算法［１］融合的血管边沿提取及管径计算。２基于高斯拟合的管径求取。３基于梯度的管径求取。对测得的管径变化曲线经线性插值后进行ＦＦＴ，由Ｆｏｕｒｉｅｒ频谱的大小得到定量描述的ＶＢＤ。结果表明：运用本文方法所得到的ＶＢＤ 在正常人与糖尿患者之间具有显著性差异，并具有精度高、可重复性好及可自动测量的优点。

Diabetes mellitus is a high prevalence disease in the world and retinal vessel changes such as venous beading are common findings in patients suffering from long standing diabetes. Three methods(1.Combined use of the SED, ROSE, Modified LoG algorithm; 2.Gaussian fitting based method; 3.Gradient based method) for detection venous caliber were used in the first processing stage, then the magnitude of fast Fourier transform of variation function of venous caliber was used as a detective index of venous beading. The reliability of the results, justified by their low variability, makes feasible the standardization of quantitative parameters to be used both in the diagnosis and in the prognosis of diabetes, and also allows prospective studies based upon them.