Automatic axis generation for 3D virtual-bronchoscopic image assessment

Roderick David Swift; William E. Higgins; Eric A. Hoffman; Geoffrey McLennan M.D.; Joseph M. Reinhardt

doi:10.1117/12.312590

3 July 1998 Automatic axis generation for 3D virtual-bronchoscopic image assessment

Roderick David Swift, William E. Higgins, Eric A. Hoffman, Geoffrey McLennan M.D., Joseph M. Reinhardt

Proceedings Volume 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images; (1998) https://doi.org/10.1117/12.312590
Event: Medical Imaging '98, 1998, San Diego, CA, United States

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.

Citation Download Citation

Roderick David Swift, William E. Higgins, Eric A. Hoffman, Geoffrey McLennan M.D., and Joseph M. Reinhardt "Automatic axis generation for 3D virtual-bronchoscopic image assessment", Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); https://doi.org/10.1117/12.312590

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