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Lattice Boltzmann simulation of blood flow in digitized vessel networks

机译:数字化血管网络中血流的格子Boltzmann模拟

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摘要

Efficient flow of red blood cells (RBCs) and white blood cells (WBCs) through the microcirculation is necessary for oxygen and nutrient delivery as well as immune cell function. Because blood is a dense particulate suspension, consisting of 40% RBCs by volume, it is difficult to analyze the physical mechanisms by which individual blood cells contribute to the bulk flow properties of blood. Both experimental and computational approaches are hindered by these non-Newtonian properties, and predicting macroscopic blood flow characteristics such as viscosity has historically been an empirical process. In order to examine the effect of the individual cells on macroscopic blood rheology, we developed a lattice Boltzmann model that considers the blood as a suspension of particles in plasma, accounting explicitly for cell-cell and cell-wall interactions. Previous studies have concluded that the abundance of leukocyte rolling in postcapillary venules is due to interactions between red blood cells and leukocytes as they enter postcapillary expansions. Similar fluid dynamics may be involved in the initiation of rolling at branch points, a phenomenon linked to atherosclerosis. The lattice Boltzmann approach is used to analyze the interactions of red and white blood cells as they flow through vascular networks digitized from normal and tumor tissue. A major advantage of the lattice-Boltzmann method is the ability to simulate particulate flow dynamically and in any geometry. Using this approach, we can accurately determine RBC-WBC forces, particle trajectories, the pressure changes in each segment that accompany cellular traffic in the network, and the forces felt by the vessel wall at any location. In this technique, intravital imaging using vascular contrast agents produces the network outline that is fed to the lattice-Boltzmann model. This powerful and flexible model can be used to predict blood flow properties in any vessel geometry and with any blood composition.
机译:红血球(RBC)和白血球(WBC)的有效流通是通过微循环进行的,这对于氧气和营养物质的输送以及免疫细胞的功能是必不可少的。由于血液是致密的颗粒状悬浮液,由40%的RBC组成,因此很难分析单个血细胞对血液的总体流动特性做出贡献的物理机制。这些非牛顿特性阻碍了实验方法和计算方法的发展,并且预测宏观血液流动特性(例如粘度)在历史上一直是一个经验过程。为了检查单个细胞对宏观血液流变学的影响,我们开发了一种格子Boltzmann模型,该模型将血液视为血浆中颗粒的悬浮液,明确说明了细胞-细胞和细胞壁的相互作用。先前的研究得出结论,毛细血管后小静脉中大量白细胞滚动是由于红细胞和白细胞进入毛细血管扩张后之间的相互作用所致。在分支点开始滚动可能涉及类似的流体动力学,这是与动脉粥样硬化有关的现象。格子Boltzmann方法用于分析红细胞和白细胞通过正常和肿瘤组织数字化的血管网络流动时的相互作用。格子-玻尔兹曼方法的主要优点是能够动态模拟任何几何形状的颗粒流。使用这种方法,我们可以准确地确定RBC-WBC力,粒子轨迹,网络中伴随蜂窝通信的每个段中的压力变化以及在任何位置的血管壁所感受到的力。在这项技术中,使用血管造影剂的活体成像可产生网络轮廓,并将其馈送到晶格-玻尔兹曼模型。这种强大而灵活的模型可用于预测任何血管几何形状和任何血液成分的血流特性。

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