Journal article
Automatic axis generation for virtual bronchoscopic assessment of major airway obstructions
Computerized medical imaging and graphics, Vol.26(2), pp.103-118
2002
DOI: 10.1016/S0895-6111(01)00035-0
PMID: 11818189
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.
Details
- Title: Subtitle
- Automatic axis generation for virtual bronchoscopic assessment of major airway obstructions
- Creators
- R.D Swift - Department of Electrical Engineering, Penn State University, 121 Electrical Engineering East, University Park, PA 16802, USAA.P Kiraly - Department of Electrical Engineering, Penn State University, 121 Electrical Engineering East, University Park, PA 16802, USAA.J Sherbondy - Department of Electrical Engineering, Penn State University, 121 Electrical Engineering East, University Park, PA 16802, USAA.L Austin - Department of Electrical Engineering, Penn State University, 121 Electrical Engineering East, University Park, PA 16802, USAE.A Hoffman - College of Medicine, University of Iowa, Iowa City, IA 52242, USAG McLennan - College of Medicine, University of Iowa, Iowa City, IA 52242, USAW.E Higgins - Department of Electrical Engineering, Penn State University, 121 Electrical Engineering East, University Park, PA 16802, USA
- Resource Type
- Journal article
- Publication Details
- Computerized medical imaging and graphics, Vol.26(2), pp.103-118
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/S0895-6111(01)00035-0
- PMID
- 11818189
- ISSN
- 0895-6111
- eISSN
- 1879-0771
- Language
- English
- Date published
- 2002
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984051534502771
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