Fractal dimension and lacunarity analysis of retinal microvascular morphology in hypertension and diabetes

Fractal dimension and lacunarity analysis of retinal microvascular morphology in hypertension and diabetes
复制标题

DOI:
10.1016/j.mvr.2018.02.006
复制
发表时间:
2018-07-01
影响因子:
3.1
通讯作者:
Popovic, Tomo
Popovic, Tomo
中科院分区:
医学3区
文献类型:
--
作者:
Popovic, Natasa;Radunovic, Miroslav;Popovic, Tomo

文献摘要

被引文献

相似文献

高血压和糖尿病是可改变的血管疾病危险因素。它们引起微血管重塑,并最终导致终末器官损伤。因此,开发无创量化高血压和糖尿病对微血管影响的方法至关重要。本研究的两个目的是:1)通过使用盒计数分形维数和空隙度分析来表征高血压性视网膜病变(HR)和增殖性糖尿病性视网膜病变(PDR)中视网膜血管的几何复杂性和不均匀性,以及2)确定这两个参数的组合是否可以用于描述HR和PDR之间血管树几何形状的差异。来自公开可用的STARE数据库的视网膜图像的扩展集由我们的专家手动分割,验证,并可供其他研究人员使用。与HR和PDR相比,健康的视网膜血管网络具有更高的复杂性(分形维数)。然而,HR和PDR之间的微血管复杂性没有差异。视网膜微血管树的不均匀性(空隙度)在PDR中比HR更高。空隙度和分形维数一起定量表征视网膜中微血管几何形状,具有比单独分形分析更高的特异性。
Hypertension and diabetes mellitus represent modifiable risk factors for vascular disease. They cause microvascular remodeling, and ultimately result in end-organ damage. Therefore, development of methods for noninvasive quantification of the effects of hypertension and diabetes mellitus on microvasculature is of paramount importance. The two goals of the study were: 1) to characterize the geometric complexity and inhomogeneity of retinal vasculature in hypertensive retinopathy (HR) and in proliferative diabetic retinopathy (PDR) by using box counting fractal dimension and lacunarity analysis, and 2) to determine if the combination of these two parameters can be used to describe differences in the vascular tree geometry between HR and PDR. The extended set of retinal images from the publicly available STARE database was manually segmented by our expert, validated, and made available for other researchers to use. The healthy retinal vascular network has a higher complexity (fractal dimension) compared to that in HR and in PDR. However, there is no difference in microvascular complexity between HR and PDR. The inhomogeneity of the retinal microvascular tree (lacunarity) was higher in PDR compared to HR. Lacunarity and fractal dimension together quantitatively characterize microvascular geometry in the retina with higher specificity than fractal analysis alone.