Image guidance for neurovascular intervention: proposed setup for a 3D-roadmap system

Area of Science:

• Medical Imaging
• Interventional Radiology
• Biomedical Engineering

Background:

• Current neurovascular intervention navigation relies on single real-time images, limiting simultaneous visualization of vessel infrastructure and instruments.
• Roadmap techniques often display these elements separately, hindering precise instrument guidance.

Purpose of the Study:

• To introduce an image guidance system for neurovascular interventions.
• To develop a 3D-roadmap by fusing 3D rotational angiography and real-time fluoroscopy images.
• To improve instrument navigation and procedural efficiency.

Main Methods:

• A single C-arm based image guidance system was developed.
• Machine-based registration using patient table and C-arm sensors was employed to combine imaging modalities.
• The system's setup, feasibility, accuracy, and speed were evaluated.

Main Results:

• The system generates a 3D-roadmap by blending 3D rotational angiography and real-time fluoroscopy.
• Machine-based registration enables accurate image fusion.
• The 3D-roadmap is expected to enhance the interventionist's 3D insight and facilitate instrument navigation.

Conclusions:

• The proposed image guidance system offers a 3D-roadmap for enhanced neurovascular interventions.
• Implementation may lead to reduced X-ray dosage and contrast agent consumption.
• The system shows feasibility for improved interventional procedure guidance.