Virtual bronchoscopy guidance system for transbronchial needle aspiration

Bernhard Geiger; Guido M. Weiner; Karsten Schulze; Johannes Bilger; Patricia Krebs; Karl-Juergen Wolf; Thomas Albrecht

doi:10.1117/12.595869

14 April 2005 Virtual bronchoscopy guidance system for transbronchial needle aspiration

Bernhard Geiger, Guido M. Weiner, Karsten Schulze, Johannes Bilger, Patricia Krebs, Karl-Juergen Wolf, Thomas Albrecht

Proceedings Volume 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images; (2005) https://doi.org/10.1117/12.595869
Event: Medical Imaging, 2005, San Diego, California, United States

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.

Citation Download Citation

Bernhard Geiger, Guido M. Weiner, Karsten Schulze, Johannes Bilger, Patricia Krebs, Karl-Juergen Wolf, and Thomas Albrecht "Virtual bronchoscopy guidance system for transbronchial needle aspiration", Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); https://doi.org/10.1117/12.595869

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