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数字图像中正常的眼表浅层血管分布。

Distribution of normal superficial ocular vessels in digital images.

机构信息

Retina Research Centre, Mashhad University of Medical Sciences, Mashhad, Iran.

Refractive Error Research Centre, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Optometry, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.

出版信息

Cont Lens Anterior Eye. 2014 Feb;37(1):11-5. doi: 10.1016/j.clae.2013.07.009. Epub 2013 Aug 18.

Abstract

PURPOSE

To investigate the distribution of different-sized vessels in the digital images of the ocular surface, an endeavor which may provide useful information for future studies.

METHODS

This study included 295 healthy individuals. From each participant, four digital photographs of the superior and inferior conjunctivae of both eyes, with a fixed succession of photography (right upper, right lower, left upper, left lower), were taken with a slit lamp mounted camera. Photographs were then analyzed by a previously described algorithm for vessel detection in the digital images. The area (of the image) occupied by vessels (AOV) of different sizes was measured. Height, weight, fasting blood sugar (FBS) and hemoglobin levels were also measured and the relationship between these parameters and the AOV was investigated.

RESULTS

These findings indicated a statistically significant difference in the distribution of the AOV among the four conjunctival areas. No significant correlations were noted between the AOV of each conjunctival area and the different demographic and biometric factors. Medium-sized vessels were the most abundant vessels in the photographs of the four investigated conjunctival areas. The AOV of the different sizes of vessels follows a normal distribution curve in the four areas of the conjunctiva. The distribution of the vessels in successive photographs changes in a specific manner, with the mean AOV becoming larger as the photos were taken from the right upper to the left lower area.

CONCLUSIONS

The AOV of vessel sizes has a normal distribution curve and medium-sized vessels occupy the largest area of the photograph.

摘要

目的

研究眼表数字图像中不同大小血管的分布,为未来的研究提供有用的信息。

方法

本研究纳入 295 名健康个体。对每位参与者的双眼上下结膜,按固定的拍摄顺序(右上、右下、左上、左下)拍摄共 4 张数码照片,使用带有裂隙灯的相机拍摄。然后,通过之前描述的数字图像中血管检测算法对照片进行分析。测量不同大小血管(AOV)的面积。还测量了身高、体重、空腹血糖(FBS)和血红蛋白水平,并研究了这些参数与 AOV 之间的关系。

结果

这些发现表明,在四个结膜区域中,AOV 的分布存在统计学上的显著差异。每个结膜区域的 AOV 与不同的人口统计学和生物统计学因素之间没有显著相关性。中等大小的血管是四个研究结膜区域照片中最丰富的血管。四个结膜区域的不同大小血管的 AOV 呈正态分布曲线。血管在连续照片中的分布以特定的方式变化,随着照片从右上到左下拍摄,平均 AOV 变得更大。

结论

血管大小的 AOV 呈正态分布曲线,中等大小的血管占据照片的最大面积。

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