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Proceedings Paper

Automatic axis generation for 3D virtual-bronchoscopic image assessment
Author(s): Roderick David Swift; William E. Higgins; Eric A. Hoffman; Geoffrey McLennan M.D.; Joseph M. Reinhardt
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Paper Abstract

Virtual bronchoscopy is emerging as a means for assessing high-resolution 3D CT images of the chest. The central axes, or paths, of the airways can provide virtual-bronchoscopic systems with a logical reference frame for quantitation and navigation. Unfortunately, the manual and automatic methods proposed to date for determining these axes are either time- consuming, error prone, or provide imprecise results. We give a preliminary presentation of an adaptive automated approach for finding smooth central axes through the major airways. Using this method, we are able to extract multiple axes through a 3D image in only a few minutes for a typical 512 by 512 by 25 CT image. The method works on anisotropically sampled gray-scale images and requires no prior segmentation. We describe the method and present initial validation results for phantom, animal, and human images. Visual results are also provided using a virtual bronchoscopic system.

Paper Details

Date Published: 3 July 1998
PDF: 12 pages
Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); doi: 10.1117/12.312590
Show Author Affiliations
Roderick David Swift, The Pennsylvania State Univ. (United States)
William E. Higgins, The Pennsylvania State Univ. and Univ. of Iowa (United States)
Eric A. Hoffman, Univ. of Iowa (United States)
Geoffrey McLennan M.D., Univ. of Iowa (United States)
Joseph M. Reinhardt, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 3337:
Medical Imaging 1998: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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