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Proceedings Paper

Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods
Author(s): Ronald M. Summers; Lynne M. Pusanik; James D. Malley
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Paper Abstract

3D reconstruction of medical images is increasingly being used to diagnose disease and to direct therapy. Virtual bronchoscopy is a recently developed type of 3D reconstruction of the airways that may be useful for diagnosis of lesions of the airway. In this study, we compare two methods for computer-aided diagnosis of polypoid airway tumors: a parametric (`patch') and non-parametric ('grey-scale') algorithm. We found that both methods have comparable specificities. Although the non-parametric method is twelve times faster than the parametric method, we found that is sensitivity lags behind that of the parametric method by 3 to 16% when lesions of all sizes are considered. For lesions at least 5 mm in size, the sensitivities are comparable if a small convolution kernel is used.

Paper Details

Date Published: 24 June 1998
PDF: 9 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310909
Show Author Affiliations
Ronald M. Summers, National Institutes of Health (United States)
Lynne M. Pusanik, National Institutes of Health (United States)
James D. Malley, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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