Electronic Theses and Dissertations

Identifier

191

Jun Shi

Date

2010

Document Type

Thesis

Degree Name

Master of Science

Major

Biomedical Engineering

Concentration

Biotechnology

Committee Chair

Michael R T Yen

Committee Member

William S Janna

Committee Member

Amy L. de Jongh Curry

Abstract

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) [5], 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.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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