Experiments in virtual-endoscopic guidance of bronchoscopy

James P. Helferty; Anthony J. Sherbondy; Atilla Peter Kiraly; Janice Z. Turlington; Eric A. Hoffman; Geoffrey McLennan M.D.; William E. Higgins

doi:10.1117/12.428127

21 May 2001 Experiments in virtual-endoscopic guidance of bronchoscopy

James P. Helferty, Anthony J. Sherbondy, Atilla Peter Kiraly, Janice Z. Turlington, Eric A. Hoffman, Geoffrey McLennan M.D., William E. Higgins

Author Affiliations +

Proceedings Volume 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images; (2001) https://doi.org/10.1117/12.428127
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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.

Citation Download Citation

James P. Helferty, Anthony J. Sherbondy, Atilla Peter Kiraly, Janice Z. Turlington, Eric A. Hoffman, Geoffrey McLennan M.D., and William E. Higgins "Experiments in virtual-endoscopic guidance of bronchoscopy", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); https://doi.org/10.1117/12.428127

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