Pre-clinical validation of virtual bronchoscopy using 3D Slicer.

Area of Science:

• Medical Imaging
• Pulmonology
• Surgical Navigation

Background:

• Lung cancer remains a leading cause of cancer death with low survival rates.
• Computed tomography (CT) is a primary tool for lung disease imaging.
• Effective navigation within the lungs is crucial for diagnosis and treatment.

Purpose of the Study:

• To develop a simple, accessible virtual bronchoscopy system for lung navigation.
• To integrate the system with a customized electromagnetic (EM) tracking system.
• To minimize user interaction while maximizing usability for lung navigation.

Main Methods:

• The system was developed as an extension of the open-source 3D Slicer platform.
• It generates virtual airway reconstructions from CT images for navigation.
• The system supports pre-procedural planning and navigation, optimized for a 6-DOF EM tracking sensor.

Main Results:

• Ex vivo testing with physicians showed the system was easy to use and accurate for navigation.
• The system assisted in path selection without prior experience or image analysis.
• In vivo animal studies confirmed the technical feasibility and usability of the virtual navigation system.

Conclusions:

• An accessible virtual bronchoscopy system for lung navigation has been developed.
• The system offers tools to facilitate navigation to user-selected regions of interest.
• This technology shows potential for safe and reliable diagnosis of airway diseases through virtual navigation.