Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/32982
Title: Non-uniform central airways ventilation model based on vascular segmentation
Authors: Ibrahim, Gihad A.
Rona, Aldo
Hainsworth, Sarah V.
First Published: 14-Aug-2015
Publisher: Elsevier
Citation: Computers in Biology and Medicine, 2015 (In press)
Abstract: Improvements in the understanding of the physiology of the central airways require an appropriate representation of the non-uniform ventilation at its terminal branches. This paper proposes a new technique for estimating the non-uniform ventilation at the terminal branches by modelling the volume change of their distal peripheral airways, based on vascular segmentation. The vascular tree is used for sectioning the dynamic CT-based 3D volume of the lung at 11 time points over the breathing cycle of a research animal. Based on the mechanical coupling between the vascular tree and the remaining lung tissues, the volume change of each individual lung segment over the breathing cycle was used to estimate the non-uniform ventilation of its associated terminal branch. The 3D lung sectioning technique was validated on an airway cast model of the same animal pruned to represent the truncated dynamic CT based airway geometry. The results showed that the 3D lung sectioning technique was able to estimate the volume of the missing peripheral airways within a tolerance of 2%. In addition, the time-varying non-uniform ventilation distribution predicted by the proposed sectioning technique was validated against CT measurements of lobar ventilation and showed good agreement. This significant modelling advance can be used to estimate subject-specific non-uniform boundary conditions to obtain subject-specific numerical models of the central airway flow.
DOI Link: 10.1016/j.compbiomed.2015.08.006
ISSN: 0010-4825
Links: http://www.sciencedirect.com/science/article/pii/S0010482515002838
http://hdl.handle.net/2381/32982
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2015 Published by Elsevier Ltd. After the end of the embargo period, this manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections:Published Articles, Dept. of Engineering

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