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Proceedings Paper

Experiments in virtual-endoscopic guidance of bronchoscopy
Author(s): James P. Helferty; Anthony J. Sherbondy; Atilla Peter Kiraly; Janice Z. Turlington; Eric A. Hoffman; Geoffrey McLennan; William E. Higgins
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Paper Abstract

Transbronchial needle biopsy is a common procedure for early detection of lung cancer. In practice, accurate results are difficult to obtain, since the bronchoscopy procedure requires a blind puncture into a region hidden behind the airway walls. This paper presents an image-guided endoscopy system for procedure preplanning and for guidance during bronchoscopy. Before the bronchoscopy, a 3D CT scan is analyzed to define guidance paths through the major airways to suspect biopsy sites. During subsequent bronchoscopy, the paths give the physician step-by-step guidance to each suspect site location. At a suspect site, a virtual CT image is registered to the bronchoscopic video. Then, the predefined biopsy site, from the prior CT analysis, is rendered onto the registered video. This gives the physician a reference for performing the needle biopsy. This paper focuses on our recent experiments with this system. These experiments involve a rubber phantom model of the human airway tree and in vivo animal tests. The experiments demonstrate the promise of our approach.

Paper Details

Date Published: 21 May 2001
PDF: 11 pages
Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); doi: 10.1117/12.428127
Show Author Affiliations
James P. Helferty, The Pennsylvania State Univ. (United States)
Anthony J. Sherbondy, The Pennsylvania State Univ. (United States)
Atilla Peter Kiraly, The Pennsylvania State Univ. (United States)
Janice Z. Turlington, The Pennsylvania State Univ. (United States)
Eric A. Hoffman, Univ. of Iowa (United States)
Geoffrey McLennan, Univ. of Iowa (United States)
William E. Higgins, The Pennsylvania State Univ. and Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 4321:
Medical Imaging 2001: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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