Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model.

Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model.
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荧光素眼底血管造影对视网膜血管生成模型中视网膜漏血的定量测定。

DOI:
10.1038/s41598-021-99434-2
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发表时间:
2021-10-06
期刊:
影响因子:
4.6
通讯作者:
Xu X
Xu X
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Comin CH;Tsirukis DI;Sun Y;Xu X

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眼部血管渗漏是许多血管性眼病的特征。极低密度脂蛋白受体缺陷小鼠(Vldlr−/−)是视网膜血渗漏的临床前模型之一,用于药物筛选和机制研究。血管渗漏通常使用眼底荧光血管造影术(FFA)进行检查。然而,解释Vldlr−/−模型的FFA图像是具有挑战性的,因为该模型不存在自动和客观的技术。已经开发了一种用于量化渗漏强度和面积的管道,包括三个任务:(I)血液渗漏识别,(Ii)血管分割,和(Iii)图像配准。采用形态运算和LOG-Gabor正交滤波相结合的方法识别泄漏区域。此外,提出了一种新的基于图分析的光盘检测算法,用于配准不同时间点的图像。将该方法测量的血液渗漏强度和面积与两个注释器产生的地面真实量化进行比较。该方法与地面真实图像的定量结果相比,渗漏强度的相对误差约为10% ± 6%,渗漏区域的相对误差约为17% ± 8%。渗漏强度和渗漏区的皮尔逊相关系数分别为0.98和0.94。因此,我们提出了一种计算方法,用于在临床前血管生成模型VLDLR−/−模型中使用FFA来量化视网膜血管渗漏和血管。
Blood leakage from the vessels in the eye is the hallmark of many vascular eye diseases. One of the preclinical mouse models of retinal blood leakage, the very-low-density-lipoprotein receptor deficient mouse (Vldlr−/−), is used for drug screening and mechanistic studies. Vessel leakage is usually examined using Fundus fluorescein angiography (FFA). However, interpreting FFA images of the Vldlr−/− model is challenging as no automated and objective techniques exist for this model. A pipeline has been developed for quantifying leakage intensity and area including three tasks: (i) blood leakage identification, (ii) blood vessel segmentation, and (iii) image registration. Morphological operations followed by log-Gabor quadrature filters were used to identify leakage regions. In addition, a novel optic disk detection algorithm based on graph analysis was developed for registering the images at different timepoints. Blood leakage intensity and area measured by the methodology were compared to ground truth quantifications produced by two annotators. The relative difference between the quantifications from the method and those obtained from ground truth images was around 10% ± 6% for leakage intensity and 17% ± 8% for leakage region. The Pearson correlation coefficient between the method results and the ground truth was around 0.98 for leakage intensity and 0.94 for leakage region. Therefore, we presented a computational method for quantifying retinal vascular leakage and vessels using FFA in a preclinical angiogenesis model, the Vldlr−/− model.
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