Automatic axis generation for virtual bronchoscopic assessment of major airway obstructions

R. D. Swift, A. P. Kiraly, A. J. Sherbondy, A. L. Austin, E. A. Hoffman, G. McLennan, W. E. Higgins

Research output: Contribution to journalArticle

37 Scopus citations

Abstract

Virtual bronchoscopy (VB) has emerged as a paradigm for more effective 3D CT image evaluation. Systematic evaluation of a 3D CT chest image using VB techniques, however, requires precomputed guidance data. This guidance data takes the form of central axes, or centerlines, through the major airways. We propose an axes-generation algorithm for VB assessment of 3D CT chest images. For a typical high-resolution 3D CT chest image, the algorithm produces a series of airway-tree axes, corresponding airway cross-sectional area measurements, and a segmented airway tree in a few minutes on a standard PC. Results for phantom and human airway-obstruction cases demonstrate the efficacy of the algorithm. Also, the algorithm is demonstrated in the context of VB-based 3D CT assessment.

Original languageEnglish (US)
Pages (from-to)103-118
Number of pages16
JournalComputerized Medical Imaging and Graphics
Volume26
Issue number2
DOIs
StatePublished - Feb 12 2002

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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