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Development of an image-based model for capillary vasculature of retina.

机译:基于图像的视网膜毛细血管系统的开发。

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摘要

The paper presents a method of development of a detailed network model to represent retinal capillary vasculature. The capillary model is a circular mesh consisting of concentric rings with an increasing diameter. Each of the rings has uniformly distributed bifurcation nodes to represent capillary vessels. The model is customized using the data that has been measured from confocal microscopic images of a mouse retina. The capillary model developed can be connected to networks of larger vessels of the vasculature such as arterial and venous networks to form a complete model of the retinal network. A method to automate such interface connections between capillary and other vascular networks using connecting vessels (i.e., pre-capillary and post-capillary) is also presented in the paper. Such a detailed image-based capillary model together with the arterial and venular networks can be used for various circulation simulations to obtain accurate information on hemodynamic quantities such as the spatial distribution of pressure and flow in the vasculature for both physiological and pathological conditions. The method presented for the development of the capillary model can also be adopted for vasculatures of other organs.
机译:本文提出了一种开发详细的网络模型以代表视网膜毛细血管的方法。毛细管模型是由直径不断增大的同心环组成的圆形网格。每个环具有均匀分布的分叉节点以代表毛细血管。使用从鼠标视网膜的共聚焦显微图像测量的数据来定制模型。所开发的毛细血管模型可以连接到较大的脉管血管网络,例如动脉和静脉网络,以形成完整的视网膜网络模型。本文还介绍了一种使用连接容器(即毛细血管前和毛细血管后)自动完成毛细管和其他血管网络之间这种接口连接的方法。这种基于图像的详细毛细管模型以及动脉和静脉网络可用于各种循环模拟,以获取有关血流动力学量的准确信息,例如生理和病理情况下脉管系统中压力和血流的空间分布。提出的用于建立毛细血管模型的方法也可以用于其他器官的脉管系统。

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