New approaches to catheter navigation for interventional radiology simulation

Area of Science:

• Medical Simulation
• Biomedical Engineering
• Interventional Radiology

Background:

• Interventional procedures for cardiovascular disease have advanced patient outcomes for over two decades.
• Current interventional methods demand significant visual-tactile feedback and prolonged training.
• Existing simulation technologies lack the fidelity required for complex interventional neuroradiology training.

Purpose of the Study:

• To develop a high-fidelity simulation system for interventional neuroradiology.
• To introduce novel approaches for real-time device deformation during navigation in vascular networks.
• To enhance the training and procedural planning for interventional cardiovascular procedures.

Main Methods:

• Development of a real-time incremental Finite Element Model for device deformation.
• Implementation of an optimization strategy utilizing substructure decomposition.
• Creation of a novel collision response method for large contact point scenarios.
• Integration of patient-specific vascular segmentation and contrast agent simulation.

Main Results:

• Successful real-time deformation simulation of devices like catheters and guidewires.
• Accurate modeling of device navigation within complex vascular geometries.
• Generation of synthetic X-ray images in real-time using fast volume rendering techniques.

Conclusions:

• The developed simulation system offers a significant advancement in interventional neuroradiology training.
• The novel real-time deformation approach enhances the realism and effectiveness of vascular navigation simulation.
• This technology has the potential to improve procedural safety and patient outcomes in cardiovascular interventions.