The University of Southampton
University of Southampton Institutional Repository

Computer reconstruction of a human lung boundary model from magnetic resonance images

Computer reconstruction of a human lung boundary model from magnetic resonance images
Computer reconstruction of a human lung boundary model from magnetic resonance images
A mathematical description of the morphology of the lung is necessary for modeling and analyzing the deposition of inhaled aerosols. A model of the lung boundary was generated from magnetic resonance images, with the goal of creating a framework for anatomically realistic morphological models of the human airway network. We used data visualization and analysis software to reconstruct the lung volume from a series of transverse magnetic resonance images collected at many vertical locations in the lung, ranging from apex to base. The lung model was then built using isosurface extraction techniques. These modeling methods may facilitate the creation of customized morphological models for individual subjects, resulting in improved interpretation of aerosol distribution data from single-photon- emission computed tomography (SPECT). Such customized models could be developed for children and for patients with respiratory diseases, thus aiding in the study of inhaled medications and environmental aerosols in these sensitive populations.
magnetic resonance imaging, single-photon-emission computed tomography, lung modeling, computer simulation, theoretical models, anatomical models
180-185
Burton, Ray T.
708464cc-6eeb-49e1-a1ce-1c95840a6e90
Isaacs, Kristin K.
456d98f3-26a7-40a0-9d7c-dac2256732ba
Fleming, John S.
9a23102d-6740-430a-ac74-89938b328ec3
Martonen, Ted B.
28fcac6b-9a5d-4a1e-b13a-fc92cf74473d
Burton, Ray T.
708464cc-6eeb-49e1-a1ce-1c95840a6e90
Isaacs, Kristin K.
456d98f3-26a7-40a0-9d7c-dac2256732ba
Fleming, John S.
9a23102d-6740-430a-ac74-89938b328ec3
Martonen, Ted B.
28fcac6b-9a5d-4a1e-b13a-fc92cf74473d

Burton, Ray T., Isaacs, Kristin K., Fleming, John S. and Martonen, Ted B. (2004) Computer reconstruction of a human lung boundary model from magnetic resonance images. Respiratory Care, 49 (2), 180-185.

Record type: Article

Abstract

A mathematical description of the morphology of the lung is necessary for modeling and analyzing the deposition of inhaled aerosols. A model of the lung boundary was generated from magnetic resonance images, with the goal of creating a framework for anatomically realistic morphological models of the human airway network. We used data visualization and analysis software to reconstruct the lung volume from a series of transverse magnetic resonance images collected at many vertical locations in the lung, ranging from apex to base. The lung model was then built using isosurface extraction techniques. These modeling methods may facilitate the creation of customized morphological models for individual subjects, resulting in improved interpretation of aerosol distribution data from single-photon- emission computed tomography (SPECT). Such customized models could be developed for children and for patients with respiratory diseases, thus aiding in the study of inhaled medications and environmental aerosols in these sensitive populations.

This record has no associated files available for download.

More information

Published date: 2004
Keywords: magnetic resonance imaging, single-photon-emission computed tomography, lung modeling, computer simulation, theoretical models, anatomical models

Identifiers

Local EPrints ID: 25304
URI: http://eprints.soton.ac.uk/id/eprint/25304
PURE UUID: 2b1d8c9a-e47a-4c26-aff7-b87eeb604dcf

Catalogue record

Date deposited: 07 Apr 2006
Last modified: 22 Jul 2022 20:30

Export record

Contributors

Author: Ray T. Burton
Author: Kristin K. Isaacs
Author: John S. Fleming
Author: Ted B. Martonen

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.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

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.

×