Development of an Image-Based Network Model of Retinal Vasculature
Development of an Image-Based Network Model of Retinal Vasculature
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DOI：
10.1007/s10439-010-9942-4
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发表时间：
2010-04-01
影响因子：
3.8
通讯作者：
Xu, H.
中科院分区：
文献类型：
--
作者：
Ganesan, P.;He, S.;Xu, H.
本文提出了一种基于图像的视网膜血管网络模型，考虑到视网膜的三维血管分布。使用平板技术制备小鼠视网膜，并使用共聚焦显微镜获得血管图像。从共聚焦图像获得的血管形态测量信息用于模型开发。开发的网络模型直接表示的所有大血管的动脉和静脉树的血管几何形状和模型的毛细血管使用均匀分布的网格。视网膜不同层的血管，即表层、中层和深层，在网络中分别建模，并通过连接血管连接。用网络连通矩阵法（图论）记录血管分支数据。这种方法能够考虑到有关的个体视网膜的详细血管系统。利用所建立的网络模型，进行了基于Poiffille方程的环流分析。研究预测了整个视网膜血管系统中压力、流量和壁面剪切应力的空间分布。所开发的方法可用作连续监测视网膜循环的工具，用于临床评估以及实验研究。
The paper presents an image-based network model of retinal vasculature taking account of the 3D vascular distribution of the retina. Mouse retinas were prepared using flat-mount technique and vascular images were obtained using confocal microscopy. The vascular morphometric information obtained from confocal images was used for the model development. The network model developed directly represents the vascular geometry of all the large vessels of the arteriolar and venular trees and models the capillaries using uniformly distributed meshes. The vasculatures in different layers of the retina, namely the superficial, intermediate, and deep layer, were modeled separately in the network and were linked through connecting vessels. The branching data of the vasculatures was recorded using the method of connectivity matrix of network (the graph theory). Such an approach is able to take into account the detailed vasculature of individual retinas concerned. Using the network model developed, a circulation analysis based on Poiseuille's equation was carried out. The investigations produced predictions of spatial distribution of the pressure, flow, and wall shear stress in the entire retinal vasculature. The method developed can be used as a tool for continuous monitoring of the retinal circulation for clinical assessments as well as experimental studies.