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基于解剖学和弹性数据的人体肺血流随机模拟及通过时间频率分布

Stochastic simulation of human pulmonary blood flow and transit time frequency distribution based on anatomic and elasticity data.

作者信息

Huang Wei, Shi Jun, Yen R T

机构信息

Dept. of Mechanical Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.

出版信息

Mol Cell Biomech. 2012 Dec;9(4):269-83.

PMID:23724431
Abstract

The objective of our study was to develop a computing program for computing the transit time frequency distributions of red blood cell in human pulmonary circulation, based on our anatomic and elasticity data of blood vessels in human lung. A stochastic simulation model was introduced to simulate blood flow in human pulmonary circulation. In the stochastic simulation model, the connectivity data of pulmonary blood vessels in human lung was converted into a probability matrix. Based on this model, the transit time of red blood cell in human pulmonary circulation and the output blood pressure were studied. Additionally, the stochastic simulation model can be used to predict the changes of blood flow in human pulmonary circulation with the advantage of the lower computing cost and the higher flexibility. In conclusion, a stochastic simulation approach was introduced to simulate the blood flow in the hierarchical structure of a pulmonary circulation system, and to calculate the transit time distributions and the blood pressure outputs.

摘要

我们研究的目的是基于人体肺部血管的解剖学和弹性数据,开发一个用于计算人体肺循环中红细胞通过时间频率分布的计算程序。引入了一个随机模拟模型来模拟人体肺循环中的血流。在随机模拟模型中,人体肺部肺血管的连通性数据被转换为一个概率矩阵。基于该模型,研究了人体肺循环中红细胞的通过时间和输出血压。此外,随机模拟模型可用于预测人体肺循环中血流的变化,具有计算成本较低和灵活性较高的优点。总之,引入了一种随机模拟方法来模拟肺循环系统层次结构中的血流,并计算通过时间分布和血压输出。

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