Journal article
Measurement of three-dimensional lung tree structures by using computed tomography
Journal of applied physiology (1985), Vol.79(5), pp.1687-1697
11/01/1995
DOI: 10.1152/jappl.1995.79.5.1687
PMID: 8594030
Abstract
A method was devised to computationally segment and measure three-dimensional pulmonary trees in situ. Bronchi and pulmonary vessels were computationally extracted from volumetric computed tomography data based on radiopacity differences between airway wall and airway lumen and between blood and parenchyma, respectively. The tree was reduced to a central axis to facilitate measurement of branch segment length and angle. Cross-sectional area was measured on a reconstructed computed tomography slice perpendicular to this central axis. The method was validated by scanning two Plexiglas phantoms and an intact lung. Reconstructed diameters in the phantoms were accurate for branches > 2 mm. In the lung airway branches between 1 and 2 mm in diameter were often unresolved when their angle of orientation with respect to the axis of the scanner was > 45 degrees. However, if a branch was resolved, its reconstructed diameter was little affected by orientation. This method represents a significant improvement in the analysis of complex pulmonary structures in three dimensions.
Details
- Title: Subtitle
- Measurement of three-dimensional lung tree structures by using computed tomography
- Creators
- S. A. Wood - Johns Hopkins UniversityE. A. Zerhouni - Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Maryland 21205, USAJ. D. Hoford - Division of PhysiologyE. A. Hoffman - Division of PhysiologyW. Mitzner - Bloomberg
- Resource Type
- Journal article
- Publication Details
- Journal of applied physiology (1985), Vol.79(5), pp.1687-1697
- DOI
- 10.1152/jappl.1995.79.5.1687
- PMID
- 8594030
- ISSN
- 8750-7587
- eISSN
- 1522-1601
- Language
- English
- Date published
- 11/01/1995
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318781302771
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