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PMID: 29333194 Published · ppublish English Journal Article

Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi?

Computational and mathematical methods in medicine ·Vol. 2017 ·2017-00-00 ·页码 1969023

Qi S, Zhang B, Teng Y, Li J, Yue Y, Kang Y, Qian W

Abstract

Using computational fluid dynamics (CFD) method, the feasibility of simulating transient airflow in a CT-based airway tree with more than 100 outlets for a whole respiratory period is studied, and the influence of truncations of terminal bronchi on CFD characteristics is investigated. After an airway model with 122 outlets is extracted from CT images, the transient airflow is simulated. Spatial and temporal variations of flow velocity, wall pressure, and wall shear stress are presented; the flow pattern and lobar distribution of air are gotten as well. All results are compared with those of a truncated model with 22 outlets. It is found that the flow pattern shows lobar heterogeneity that the near-wall air in the trachea is inhaled into the upper lobe while the center flow enters the other lobes, and the lobar distribution of air is significantly correlated with the outlet area ratio. The truncation decreases airflow to right and left upper lobes and increases the deviation of airflow distributions between inspiration and expiration. Simulating the transient airflow in an airway tree model with 122 bronchi using CFD is feasible. The model with more terminal bronchi decreases the difference between the lobar distributions at inspiration and at expiration.

MeSH 主题词
Bronchi/physiology Computer Simulation Exhalation Gases Humans Hydrodynamics Imaging, Three-Dimensional Lung Male Middle Aged Models, Biological Pressure Respiration Respiratory Function Tests Respiratory Mechanics Shear Strength Stress, Mechanical Tomography, X-Ray Computed Trachea/physiology
化学物质
Gases
作者与单位
共 7 位作者,点击展开单位 / ORCID
Qi Shouliang ORCID
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. | Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education, Shenyang, China.
Zhang Baihua
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. | Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education, Shenyang, China.
Teng Yueyang ORCID
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. | Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education, Shenyang, China.
Li Jianhua
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. | Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education, Shenyang, China.
Yue Yong
Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Kang Yan ORCID
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. | Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education, Shenyang, China.
Qian Wei
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. | College of Engineering, University of Texas, El Paso, TX, USA.
Article Info
Journal
Computational and mathematical methods in medicine
Abbr.
Comput Math Methods Med
ISSN
1748-6718
Published
2017-00-00
电子出版
2017-00-03
页码
1969023
Language
English
Country/Region
United States
NLM ID
101277751
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