Simulation of pulmonary air flow with a subject-specific boundary condition.
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.
Yin
Youbing
Y
Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, Iowa, USA.
Choi
Jiwoong
J
Hoffman
Eric A
EA
Tawhai
Merryn H
MH
Lin
Ching-Long
CL
D003198:Computer Simulation; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging* / Q000502:physiology*; D008954:Models, Biological; D012123:Pulmonary Ventilation / Q000502:physiology*; D011857:Radiographic Image Interpretation, Computer-Assisted