3D-XGuide

3D-XGuide performs X-ray (XR) navigation guidance by integrating fluoroscopy with CT or MRI data through rigid 3D–3D registration, coordinate transformations, and cross-modal image fusion.

Key Features:

• Projection Geometry and Coordinate Transformations: Computes XR projection geometry and performs transformations between related coordinate systems for image registration and navigation.
• Rigid 3D–3D Registration: Aligns XR fluoroscopy data with anatomical models derived from CT or MRI through rigid three-dimensional registration.
• Template-Matching Tracking and Motion Compensation: Implements template-matching algorithms to track anatomical structures and compensate for motion in both 2D and 3D data.
• Cross-Modal Image Fusion: Integrates XR fluoroscopy with CT or MRI datasets to enable multimodal image fusion for navigation guidance.
• DICOM Data Integration: Imports retrospective imaging datasets in DICOM format and processes live XR data through a video capture card interface.
• Visualization Framework: Utilizes the Qt application framework and the VTK visualization pipeline for processing and visualization of multimodal imaging data.

Scientific Applications:

• Image-Guided Interventions: Supports navigation and visualization for transcatheter procedures performed under XR guidance.
• Multimodal Imaging Integration: Enables fusion and analysis of fluoroscopy, CT, and MRI datasets for intraoperative guidance.
• Interventional Imaging Research: Facilitates development and evaluation of computational methods for navigation and image fusion in medical interventions.

Methodology:

The framework processes DICOM and live XR imaging data, computes projection geometry and coordinate transformations, performs rigid 3D–3D registration between fluoroscopy and CT or MRI models, applies template-matching tracking with motion compensation, and generates cross-modal image fusion using Qt and VTK-based visualization pipelines.