Tian Jing, Somfai Gábor Márk, Campagnoli Thalmon R, Smiddy William E, Debuc Delia Cabrera
Bascom Palmer Eye Institute, 900 NW 17th Street, Miami, FL 33136, USA,.
Bascom Palmer Eye Institute, 900 NW 17th Street, Miami, FL 33136, USA,; Department of Ophthalmology, Semmelweis University, Budapest, Üllői út 26, 1085, Hungary.
Microvasc Res. 2016 Mar;104:1-10. doi: 10.1016/j.mvr.2015.11.003. Epub 2015 Nov 11.
The study of retinal hemodynamics plays an important role to understand the onset and progression of diabetic retinopathy. In this work, we developed an interactive retinal analysis tool to quantitatively measure the blood flow velocity (BFV) and blood flow rate (BFR) in the macular region using the Retinal Function Imager (RFI). By employing a high definition stroboscopic fundus camera, the RFI device is able to assess retinal blood flow characteristics in vivo. However, the measurements of BFV using a user-guided vessel segmentation tool may induce significant inter-observer differences and BFR is not provided in the built-in software. In this work, we have developed an interactive tool to assess the retinal BFV and BFR in the macular region. Optical coherence tomography data was registered with the RFI image to locate the fovea accurately. The boundaries of the vessels were delineated on a motion contrast enhanced image and BFV was computed by maximizing the cross-correlation of pixel intensities in a ratio video. Furthermore, we were able to calculate the BFR in absolute values (μl/s). Experiments were conducted on 122 vessels from 5 healthy and 5 mild non-proliferative diabetic retinopathy (NPDR) subjects. The Pearson's correlation of the vessel diameter measurements between our method and manual labeling on 40 vessels was 0.984. The intraclass correlation (ICC) of BFV between our proposed method and built-in software was 0.924 and 0.830 for vessels from healthy and NPDR subjects, respectively. The coefficient of variation between repeated sessions was reduced significantly from 22.5% to 15.9% in our proposed method (p<0.001).
视网膜血流动力学研究对于理解糖尿病视网膜病变的发病和进展起着重要作用。在这项工作中,我们开发了一种交互式视网膜分析工具,以使用视网膜功能成像仪(RFI)定量测量黄斑区的血流速度(BFV)和血流量(BFR)。通过采用高清频闪眼底相机,RFI设备能够在体内评估视网膜血流特征。然而,使用用户引导的血管分割工具测量BFV可能会导致显著的观察者间差异,并且内置软件中未提供BFR。在这项工作中,我们开发了一种交互式工具来评估黄斑区的视网膜BFV和BFR。光学相干断层扫描数据与RFI图像配准,以准确定位中央凹。在运动对比增强图像上勾勒血管边界,并通过最大化比率视频中像素强度的互相关来计算BFV。此外,我们能够计算出绝对值(μl/s)的BFR。对来自5名健康受试者和5名轻度非增殖性糖尿病视网膜病变(NPDR)受试者的122条血管进行了实验。我们的方法与40条血管上的手动标记之间血管直径测量的皮尔逊相关性为0.984。对于健康受试者和NPDR受试者的血管,我们提出的方法与内置软件之间BFV的组内相关性(ICC)分别为0.924和0.830。在我们提出的方法中,重复测量之间的变异系数从22.5%显著降低至15.9%(p<0.001)。