An augmented reality framework for optimization of computer assisted navigation in endovascular surgery

Area of Science:

• Medical Simulation
• Surgical Robotics
• Medical Imaging

Background:

• Endovascular surgery requires complex skills due to arterial fragility and catheter navigation challenges.
• Minimally invasive surgical training benefits from virtual reality and augmented reality (AR) systems.
• Existing AR systems often rely on pre-captured or computer-generated images, limiting real-time fidelity.

Purpose of the Study:

• To develop an augmented reality system for ultrasound-guided endovascular surgical training.
• To provide a realistic training experience by registering real-time ultrasound images with phantom models.
• To extend the system towards computer-assisted remote endovascular surgery with robotic control.

Main Methods:

• Development of an augmented reality system integrating real-time ultrasound imaging.
• Registration of live ultrasound data with pre-scanned phantom models for enhanced visualization.
• Conceptualization of a framework for robotic-assisted catheter navigation guided by remote surgeons.

Main Results:

• The developed AR system provides a realistic training environment for endovascular procedures.
• Real-time ultrasound image registration enhances the fidelity of the surgical simulation.
• The system lays the groundwork for future remote, robotically controlled endovascular interventions.

Conclusions:

• Augmented reality, combined with real-time ultrasound, significantly enhances endovascular surgical training.
• The developed system offers a pathway toward advanced computer-assisted remote endovascular surgery.
• This technology has the potential to improve surgical skill acquisition and patient outcomes.