HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Related articles in Proceedings of the American Thoracic Society Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Ferguson, J. S. Articles by McLennan, G. Search for Related Content PubMed PubMed Citation Articles by Ferguson, J. S. Articles by McLennan, G.

Virtual Bronchoscopy

Departments of Internal Medicine, Radiology, and Biomedical Engineering, University of Iowa, Iowa City, Iowa

Correspondence and requests for reprints should be addressed to Geoffrey McLennan, M.D., Ph.D., Departments of Internal Medicine, Radiology, and Biomedical Engineering, University of Iowa, Iowa City, IA 52242. E-mail: geoffrey-mclennan{at}uiowa.edu

ABSTRACT

Virtual bronchoscopy is rapidly providing a software solution for visualization and measurement of the human airway tree with data derived from multirow detector X-ray CT scans as the most common data source. Increasingly, other imaging data sources to create three-dimensional image renderings of the bronchial tree are being used including magnetic resonance imaging, ultrasound, and the digital color image taken by the bronchoscope itself. Software solutions now exist for providing simple renderings of the bronchial tree through which a fly-through of the airway lumen by the center line of the airway can be added (the fly-through mimics the view that a real flexible bronchoscope affords the operator). The images so produced are visually accurate (i.e., they appear very realistic) and with good software now available are also analytically correct (i.e., measurements taken from these images are accurate). More advanced virtual bronchoscopic applications, including image-based pathfinding to mediastinal and peripheral lung structures, are also in development. Synergistic datasets composed of image data from multiple image sources are also being developed.

Key Words: bronchoscopy • CT scan • imaging

Related articles in Proceedings of the American Thoracic Society:

COLOR FIGURES (All articles)

Proceedings of the American Thoracic Society 2005 2: 499-516. [Full Text]  

This article has been cited by other articles:

				C. S. Rogers, W. M. Abraham, K. A. Brogden, J. F. Engelhardt, J. T. Fisher, P. B. McCray Jr., G. McLennan, D. K. Meyerholz, E. Namati, L. S. Ostedgaard, et al. The porcine lung as a potential model for cystic fibrosis Am J Physiol Lung Cell Mol Physiol, August 1, 2008; 295(2): L240 - L263. [Abstract] [Full Text] [PDF]

				W. A. Ames, D. B. Macleod, A. K. Ross, J. Marcus, and S. Mukundan Jr The Novel Use of Computer-Generated Virtual Imaging to Assess the Difficult Pediatric Airway Anesth. Analg., May 1, 2007; 104(5): 1154 - 1156. [Abstract] [Full Text] [PDF]