The University of Southampton
University of Southampton Institutional Repository

Simulation of three-dimensional particle deposition patterns in human lungs and comparison with experimental SPECT data

Hofmann, W., Sturm, R., Fleming, J., Conway, J. and Bolt, L. (2005) Simulation of three-dimensional particle deposition patterns in human lungs and comparison with experimental SPECT data Aerosol Science and Technology, 39, (8), pp. 771-781. (doi:10.1080/02786820500237158).

Record type: Article


To further validate a stochastic particle deposition model, three-dimensional deposition patterns predicted by that model were compared with corresponding spatial particle deposition data obtained from SPECT measurements. In the in vivo inhalation experiments, two different polydisperse aerosols with mass median aerodynamic diameters of 1.6 ? m and 6.8 ? m were inhaled by 12 test subjects, using different nebulizers. Predicted and measured deposition data were compared on three different levels: (1) total lung deposition, (2) deposition per hemispherical shell, and (3) deposition per airway generation.
First, experimental and theoretical total lung deposition data showed good agreement for both the fine (65 ± 9% vs. 55 ± 21%) and the coarse aerosols (55 ± 8% vs. 46 ± 4%).
Second, predicted deposition per hemispherical shell also corresponded well with the experimental data, both exhibiting small deposition fractions in the inner shells and a roughly quadratic increase in the outer shells.
Third, fair agreement was observed for the deposition fractions per airway generation, both experimental data and modelling predictions exhibiting relatively small deposition fractions in central bronchial airway generations, followed by a steep increase in the peripheral respiratory airways. While the overall agreement between measured SPECT data and computed deposition fractions demonstrates that SPECT data can indeed be used for model validation, the current spatial resolution of the SPECT method allows only a limited validation of model predictions at the single airway generation level.

Full text not available from this repository.

More information

Published date: 2005


Local EPrints ID: 25611
ISSN: 0278-6826
PURE UUID: e40ed455-0f9f-42cb-b998-38ad1df87db9
ORCID for J. Conway: ORCID iD

Catalogue record

Date deposited: 20 Apr 2006
Last modified: 17 Jul 2017 16:10

Export record



Author: W. Hofmann
Author: R. Sturm
Author: J. Fleming
Author: J. Conway ORCID iD
Author: L. Bolt

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.