Date of Award
Master of Science
Michael R T Yen
William S Janna
Amy L. de Jongh Curry
In order to fully understand the function of the lungs, it is important to determine the transit time of the pulmonary circulation. However, a practical model to estimate the transit time is difficult to be found in literature, because of the high complexity of the whole pulmonary circulation system. This study developed a computing model of steady blood flow in human lungs based on detailed morphology and elasticity data by Huang et al (1996) , which incorporated a Diameter-Defined Strahler System to simulate a human lung branching system. A stochastic simulation approach was introduced. Considering Huang’s connectivity data between different levels as a probability matrix, the stochastic simulation model can simulate the blood flow in the hierarchical structure of a pulmonary circulation system without constructing the whole structure. At the same time, the model calculated the transit time and output blood pressure. The model efficiently produced the transit time frequency distribution of the human arterial and venous trees, which agree with the lung experiments from humans and animals. Such a simulation model has the advantage of the low computing cost and the high flexibility.
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Shi, Jun, "Stochastic Simulation of Human Pulmonary Blood Flow Based on Anatomic and Elasticity Data" (2010). Electronic Theses and Dissertations. 142.