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血管网络分支出的几何优化。

Geometry optimization of branchings in vascular networks.

机构信息

University of Freiburg, Institute of Physics, Hermann-Herder-Str. 3a, 79104 Freiburg, Germany.

Fraunhofer IWM, Wöhlerstr. 11, 79108 Freiburg, Germany.

出版信息

Phys Rev E. 2016 Jun;93(6):062408. doi: 10.1103/PhysRevE.93.062408. Epub 2016 Jun 7.

Abstract

Progress has been made in developing manufacturing technologies which enable the fabrication of artificial vascular networks for tissue cultivation. However, those networks are rudimentary designed with respect to their geometry. This restricts long-term biological functionality of vascular cells which depends on geometry-related fluid mechanical stimuli and the avoidance of vessel occlusion. In the present work, a bioinspired geometry optimization for branchings in artificial vascular networks has been conducted. The analysis could be simplified by exploiting self-similarity properties of the system. Design rules in the form of two geometrical parameters, i.e., the branching angle and the radius ratio of the daughter branches, are derived using the wall shear stress as command variable. The numerical values of these parameters are within the range of experimental observations. Those design rules are not only beneficial for tissue engineering applications. Moreover, they can be used as indicators for diagnoses of vascular diseases or for the layout of vascular grafts.

摘要

在开发制造技术方面取得了进展,这些技术使人工血管网络的制造能够用于组织培养。然而,这些网络在几何形状方面的设计还很初级。这限制了血管细胞的长期生物学功能,因为这些功能取决于与几何形状相关的流体力学刺激和避免血管阻塞。在目前的工作中,对人工血管网络中的分支进行了仿生几何优化。通过利用系统的自相似性特性,可以简化分析。设计规则采用两个几何参数的形式,即分支角和子分支的半径比,使用壁面剪切应力作为命令变量。这些参数的数值在实验观察范围内。这些设计规则不仅有利于组织工程应用。此外,它们还可以用作血管疾病诊断或血管移植物布局的指标。

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