A catheterization-training simulator based on a fast multigrid solver.

Area of Science:

• Medical Simulation
• Computer-Aided Medical Procedures
• Virtual Reality in Healthcare

Background:

• Catheterization is a crucial yet challenging procedure in vascular interventional radiology.
• Effective training is essential for improving patient outcomes and procedural safety.

Purpose of the Study:

• To develop and evaluate a virtual reality (VR)-based simulator for catheterization training.
• To create a realistic and interactive simulation environment for mastering guide wire and catheter manipulation.

Main Methods:

• Utilized a deformable model based on minimum total potential energy for simulating guide wire and catheter behavior.
• Implemented a fast, stable multigrid solver for real-time interaction and realistic physics.
• Employed geometrically accurate vascular models and efficient collision detection algorithms.
• Evaluated simulation stability, solver performance, tip preservation, and deformation realism through experiments.

Main Results:

• The VR simulator demonstrated stability and achieved realistic simulations.
• The solver exhibited fast execution times, enabling real-time interaction.
• The system effectively preserved the catheter's curved tip and simulated deformations realistically.
• An empirical study confirmed the system's feasibility and effectiveness for selective catheterization training.

Conclusions:

• The developed VR simulator provides a viable and effective platform for training catheterization skills.
• This technology has the potential to enhance the training of vascular interventional radiology procedures.
• Realistic simulation in VR can bridge the gap between theoretical knowledge and practical application in medical training.