Abstract
Bronchoscopic needle biopsy is a common step for early lung-cancer detection. This procedure uses two steps: (1) 3D computed-tomography (CT) chest image analysis, to choose a biopsy site; (2) live bronchoscopy, to perform the biopsy. CT-based virtual endoscopic analysis can improve results of biopsies, yet errors still can occur. We describe a procedure to combine the endoscopic video tracking (the "real" world) and CT-based virtual endoscopic registration (the "virtual" world). By bringing both sources of information together, a more robust surgical guidance system is realizable. Both the endoscope's video and thoracic CT scan are used as data sources in the tracking. An optical flow algorithm estimates the endoscope motion between successive video frames. The virtual CT rendering creates a range map for the optical flow equation. This simplifies the endoscope movement calculation into a straighforward linear system. We demonstrate this method for a phantom human airway-tree example.
Original language | English (US) |
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Pages | II/961-II/964 |
State | Published - 2002 |
Event | International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: Sep 22 2002 → Sep 25 2002 |
Other
Other | International Conference on Image Processing (ICIP'02) |
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Country/Territory | United States |
City | Rochester, NY |
Period | 9/22/02 → 9/25/02 |
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering