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Research ArticleOriginal Contributions

Computer Reconstruction of a Human Lung Boundary Model From Magnetic Resonance Images

Ray T Burton, Kristin K Isaacs, John S Fleming and Ted B Martonen
Respiratory Care February 2004, 49 (2) 180-185;
Ray T Burton
Science Applications International Corporation (SAIC) and with the United States Environmental Protection Agency Scientific Visualization Laboratory, Research Triangle Park, North Carolina.
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Kristin K Isaacs
Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina.
Experimental Toxicology Division, United States National Health and Environmental Effects Research Laboratory, United States Environmental Protection Agency, Research Triangle Park, North Carolina.
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John S Fleming
Department of Medical Physics and Bioengineering, Southampton General Hospital, Southampton, United Kingdom.
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Ted B Martonen
Experimental Toxicology Division, United States National Health and Environmental Effects Research Laboratory, United States Environmental Protection Agency, Research Triangle Park, North Carolina.
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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.

  • magnetic resonance imaging
  • single-photon-emission computed tomography
  • lung
  • modeling
  • computer simulation
  • models
  • theoretical
  • models
  • anatomical

Footnotes

  • Correspondence: Ted B Martonen, Mail Drop B-143-01, Experimental Toxicology Division, United States National Health and Environmental Effects Research Laboratory, United States Environmental Protection Agency, Research Triangle Park NC 27711. E-mail: martonen.ted{at}epa.gov.
  • Copyright © 2004 by Daedalus Enterprises Inc.
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Respiratory Care: 49 (2)
Respiratory Care
Vol. 49, Issue 2
1 Feb 2004
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Computer Reconstruction of a Human Lung Boundary Model From Magnetic Resonance Images
Ray T Burton, Kristin K Isaacs, John S Fleming, Ted B Martonen
Respiratory Care Feb 2004, 49 (2) 180-185;

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Computer Reconstruction of a Human Lung Boundary Model From Magnetic Resonance Images
Ray T Burton, Kristin K Isaacs, John S Fleming, Ted B Martonen
Respiratory Care Feb 2004, 49 (2) 180-185;
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Keywords

  • magnetic resonance imaging
  • single-photon-emission computed tomography
  • lung
  • modeling
  • computer simulation
  • models
  • theoretical
  • anatomical

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