School of Engineering, University of Aberdeen, UK.
Comput Methods Programs Biomed. 2011 Apr;102(1):35-46. doi: 10.1016/j.cmpb.2010.12.009. Epub 2011 Jan 28.
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.
本文提出了一种开发详细的网络模型来表示视网膜毛细血管血管系统的方法。毛细血管模型是一个由同心环组成的圆形网格,直径逐渐增大。每个环都有均匀分布的分支节点来表示毛细血管。该模型是使用从鼠视网膜共焦显微镜图像中测量的数据进行定制的。所开发的毛细血管模型可以与血管系统的较大血管网络(如动脉和静脉网络)连接,以形成视网膜网络的完整模型。本文还提出了一种使用连接血管(即前毛细血管和后毛细血管)自动实现毛细血管和其他血管网络之间接口连接的方法。这种基于详细图像的毛细血管模型与动脉和静脉网络一起,可以用于各种循环模拟,以获得血管中压力和流量等血流动力学参数的准确信息,包括生理和病理条件下的分布情况。本文提出的用于开发毛细血管模型的方法也可以应用于其他器官的脉管系统。