Simulation of pulmonary air flow with a subject-specific boundary condition

被引:115
|
作者
Yin, Youbing [1 ,2 ]
Choi, Jiwoong [1 ,2 ]
Hoffman, Eric A. [3 ,4 ,5 ]
Tawhai, Merryn H. [6 ]
Lin, Ching-Long [1 ,2 ]
机构
[1] Univ Iowa, Dept Mech & Ind Engn, Iowa City, IA 52242 USA
[2] Univ Iowa, IIHR Hydrosci & Engn, Iowa City, IA USA
[3] Univ Iowa, Dept Radiol, Iowa City, IA 52242 USA
[4] Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USA
[5] Univ Iowa, Dept Med, Iowa City, IA 52242 USA
[6] Univ Auckland, Auckland Bioengn Inst, Auckland 1, New Zealand
关键词
Computational fluid dynamics; Pulmonary air flow; Subject-specific boundary condition; Image registration; Finite element; HUMAN LUNG; COMPUTED-TOMOGRAPHY; BRONCHIAL TREE; VENTILATION; MODEL; REGISTRATION; AIRWAYS; XENON; DIFFUSION; EXPANSION;
D O I
10.1016/j.jbiomech.2010.03.048
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
We present a novel image-based technique to estimate a subject-specific boundary condition (BC) for computational fluid dynamics (CFD) simulation of pulmonary air flow. The information of regional ventilation for an individual is derived by registering two computed tomography (CT) lung datasets and then passed to the CT-resolved airways as the flow BC. The CFD simulations show that the proposed method predicts lobar volume changes consistent with direct image-measured metrics, whereas the other two traditional BCs (uniform velocity or uniform pressure) yield lobar volume changes and regional pressure differences inconsistent with observed physiology. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2159 / 2163
页数:5
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