Combined endoscopic video tracking and virtual 3D CT registration for surgical guidance
ICIP (2)（2002）
摘要
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 the results of biopsies, yet errors can still 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 the 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 straightforward linear system. We demonstrate this method for a phantom human airway-tree example.
更多查看译文
关键词
biomedical optical imaging,cancer,computerised tomography,image registration,image sequences,lung,medical image processing,motion estimation,optical tracking,rendering (computer graphics),surgery,video signal processing,3d computed-tomography,bronchoscopic needle biopsy,chest image,endoscopic video tracking,lung-cancer detection,optical flow algorithm,phantom human airway-tree,surgical guidance system,thoracic ct scan,virtual 3d ct registration,virtual endoscopic registration,optical flow,ct scan,video tracking,virtual worlds,linear system,computed tomography,image analysis,robustness
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要