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Theoretical models for the quantification of lung injury using ventilation and perfusion distributions


Reference:

Brook, B. S., Murphy, C. M., Breen, D., Miles, A. W., Tilley, D. G. and Wilson, A. J., 2009. Theoretical models for the quantification of lung injury using ventilation and perfusion distributions. Computational and Mathematical Methods in Medicine, 10 (2), pp. 139-154.

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Official URL:

http://dx.doi.org/10.1080/17486700802201592

Abstract

This paper describes two approaches to modelling lung disease: one based on a multi-compartment statistical model with a log normal distribution of ventilation perfusion ratio ([image omitted]) values; and the other on a bifurcating tree which emulates the anatomical structure of the lung. In the statistical model, the distribution becomes bimodal, when the [image omitted] values of a randomly selected number of compartments are reduced by 85% to simulate lung disease. For the bifurcating tree model a difference in flow to the left and right branches coupled with a small random variation in flow ratio between generations results in a log normal distribution of flows in the terminal branches. Restricting flow through branches within the tree to simulate lung disease transforms this log normal distribution to a bi-modal one. These results are compatible with those obtained from experiments using the multiple inert gas elimination technique, where log normal distributions of [image omitted] ratio become bimodal in the presence of lung disease.

Details

Item Type Articles
CreatorsBrook, B. S., Murphy, C. M., Breen, D., Miles, A. W., Tilley, D. G. and Wilson, A. J.
DOI10.1080/17486700802201592
Uncontrolled Keywordslog normal, tree, lung disease, modelling
DepartmentsFaculty of Engineering & Design > Mechanical Engineering
RefereedYes
StatusPublished
ID Code14341

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