Paper
14 April 2005 Virtual bronchoscopy for quantitative airway analysis
Author Affiliations +
Abstract
We propose a new quantitative method for detailed analysis of the major airways. Using a 3D MDCT chest image as input, the method involves three major steps: (1) segmentation of the airway tree, (2) extraction of the central-axis structure of the major airways, and (3) a novel improvement on the standard full-width half-maximum approach for airway-wall delineation. The method produces measurements for all defined tree branches. These measurements include various airway diameters and cross-sectional area values. To facilitate the examination of these measurements, we also demonstrate an integrated virtual-bronchoscopic analysis system that enables flexible interrogation of the airways. Of particular note are techniques for unraveling and viewing the topography of selected airways. A large series of phantom and human tests confirm the efficacy of our methods.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atilla P. Kiraly, Joseph M. Reinhardt, Eric A. Hoffman, Geoffrey McLennan, and William E. Higgins "Virtual bronchoscopy for quantitative airway analysis", Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); https://doi.org/10.1117/12.595283
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CITATIONS
Cited by 14 scholarly publications and 7 patents.
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KEYWORDS
Image segmentation

Stereolithography

3D image processing

3D metrology

Analytical research

Bronchoscopy

Visualization

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