Analysis of Spirometry Using Computational Fluid Dynamics Simulation in 3-D Airway Model

Autor: Wen-Hao Shao, 邵文豪
Rok vydání: 2015
Druh dokumentu: 學位論文 ; thesis
Popis: 103
Spirometry plays an important role in the diagnosis of chronic obstructive pulmonary disease (COPD). In the present clinical workflow, spirometry records the volume of air exhausted from the fully aerated lungs of every patients. However, it was difficult to forcibly exhale for the patients that suffer with the difficulties in breathing. Therefore, the prediction model for spirometry could powerfully support the diagnosis of COPD. In the traditional prediction, the health information such as age and height of patients was used for predicting the values of spirometry. In this study, the pressure drop generated from computational fluid dynamics (CFD) simulation in the airway was considered. First, the airway was segmented from CT slices based on a 3-D region growing method. However, the segmented airway was composed by 2-D slices. Therefore, second, the 3-D airway model was constructed based on the segmented airway from region growing. Third, in order to run the CFD simulation, the inlet and the outlets had to be set correctly. Finally, the CFD simulation ran on the well-prepared airway model to generate the pressure drop from the inlet to the outlets of the airway model. In this study, a new prediction model, which used the combination of the airway information which was the pressure drop in the airway model and the health information, was proposed.
Databáze: Networked Digital Library of Theses & Dissertations