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Proceedings Paper

Virtual bronchoscopy guidance system for transbronchial needle aspiration
Author(s): Bernhard Geiger; Guido M. Weiner; Karsten Schulze; Johannes Bilger; Patricia Krebs; Karl-Juergen Wolf; Thomas Albrecht
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Paper Abstract

A system for planning transbronchial needle aspiration (TBNA) based on high-resolution chest CT is presented, comprising 2D axial, coronal or sagittal views and a 3D perspective intra-luminal view of the airways. The biopsy site can be defined interactively on the 2D views, and is displayed as 3D object across the translucent bronchial wall. Reference points can be placed on anatomical landmarks like the carina, which allows measuring 3D distances to viewpoints or to other landmarks. Orientation of the targets can be estimated based on a consistent orientation of the virtual endoscopic view. The system can be used as a pre-interventional planning tool, or simultaneously during the biopsy, in order to select the optimal needle insertion points. The system does not provide registration between the virtual and the real images, and does not require special hardware for tracking or any modifications of the bronchoscope. A phantom study comprising three bronchoscopists with different levels of experience showed a significant increase in yield compared to the traditional procedure based on axial CT images alone.

Paper Details

Date Published: 14 April 2005
PDF: 8 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.595869
Show Author Affiliations
Bernhard Geiger, Siemens Corporate Research (United States)
Guido M. Weiner, Charite Campus Benjamin Franklin (Germany)
Karsten Schulze, Charite Campus Benjamin Franklin (Germany)
Johannes Bilger, Charite Campus Benjamin Franklin (Germany)
Patricia Krebs, Charite Campus Benjamin Franklin (Germany)
Karl-Juergen Wolf, Charite Campus Benjamin Franklin (Germany)
Thomas Albrecht, Charite Campus Benjamin Franklin (Germany)


Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

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