3D CT-Video Fusion for Image-Guided Bronchoscopy
| Autor: | Kongkuo Lu, Kun-Chang Yu, Lav Rai, William E. Higgins, Scott A. Merritt, James P. Helferty |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
medicine.medical_specialty
Lung Neoplasms Swine Radiography Video Recording Health Informatics Radiography Interventional Article Imaging phantom User-Computer Interface Imaging Three-Dimensional Bronchoscopy Biopsy medicine Animals Humans Radiology Nuclear Medicine and imaging Medical physics Image fusion Radiological and Ultrasound Technology medicine.diagnostic_test Phantoms Imaging Sentinel Lymph Node Biopsy business.industry Lymphography Computer Graphics and Computer-Aided Design Image-guided surgery Video fusion Computer Vision and Pattern Recognition Tomography Radiology Tomography X-Ray Computed business |
| Zdroj: | Computerized Medical Imaging and Graphics. 32:159-173 |
| ISSN: | 0895-6111 |
| DOI: | 10.1016/j.compmedimag.2007.11.001 |
| Popis: | Bronchoscopic biopsy of the central-chest lymph nodes is an important step for lung-cancer staging. Before bronchoscopy, the physician first visually assesses a patient's three-dimensional (3D) computed tomography (CT) chest scan to identify suspect lymph-node sites. Next, during bronchoscopy, the physician guides the bronchoscope to each desired lymph-node site. Unfortunately, the physician has no link between the 3D CT image data and the live video stream provided during bronchoscopy. Thus, the physician must essentially perform biopsy blindly, and the skill levels between different physicians differ greatly. We describe an approach that enables synergistic fusion between the 3D CT data and the bronchoscopic video. Both the integrated planning and guidance system and the internal CT-video registration and fusion methods are described. Phantom, animal, and human studies illustrate the efficacy of the methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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