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.
Original language | English (US) |
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Pages (from-to) | 111-121 |
Number of pages | 11 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 4321 |
DOIs | |
State | Published - Jan 1 2001 |
Event | Medical Imaging 2001: Physiology and Function from Multidimensional Images - Sandiego, CA, United States Duration: Feb 18 2001 → Feb 20 2001 |
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering