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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.

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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: https://eprints.soton.ac.uk/id/eprint/25304
PURE UUID: 2b1d8c9a-e47a-4c26-aff7-b87eeb604dcf

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Date deposited: 07 Apr 2006
Last modified: 23 May 2018 16:36

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