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Related Experiment Video

Updated: May 16, 2025

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Human-computer interaction on virtual reality-based training system for vascular interventional surgery.

Pan Li¹, Xinxin Zhang², Xiaowei Hu²

¹College of Mechanical Engineering, Tianjin University of Science and Technology, No. 9, No. 13 Ave., TEDA, Tianjin 300457, China; Tianjin Key Lab of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, Tianjin University of Science and Technology, Tianjin 300457, China.

Computer Methods and Programs in Biomedicine

|March 31, 2025

Summary

This summary is machine-generated.

This study developed a virtual system for training vascular interventions, improving control of flexible guidewires with virtual hands. The system demonstrates realistic interaction and precise navigation, enhancing surgical training simulations.

Keywords:

Blood vessels Flexible instruments interaction Guidewire Human-computer interaction Vascular interventional surgery Virtual training

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Area of Science:

Medical Simulation
Robotics in Surgery
Computational Mechanics

Background:

Precision control and interaction with ultrafine, ultra-long flexible guidewires in virtual vascular interventional surgery training systems remain challenging.
Existing systems struggle to accurately simulate the complex dynamics of guidewire manipulation within virtual vascular environments.

Purpose of the Study:

To develop an advanced virtual model for ultrafine, ultra-long flexible guidewires.
To enhance the precision control and interaction capabilities within virtual vascular interventional surgery training systems.
To improve the realism and effectiveness of surgical training simulations.

Main Methods:

A hybrid approach combining Cosserat rod theory and quaternions was used to model ultra-long flexible guidewires.
Continuous Collision Detection (CCD) with spatial hashing ensured precise guidewire-vessel collision detection.
Adhesive collision particles and extended bounding volumes were implemented for realistic virtual hand-guidewire interaction and to prevent tunneling effects.

Main Results:

The system demonstrated accurate picking and delivery of the guidewire, with manipulation aligning virtual and real hand movements.
The virtual guidewire was successfully navigated through vessels with varying curvatures (30° to 120°) with an average response time of 12.64 ms.
A high degree of smoothness and stability was achieved, with an average delivery distance disparity of 3.71 mm compared to real-world scenarios.

Conclusions:

The developed virtual system successfully simulates the navigation of flexible guidewires through complex vascular anatomies, including the femoral and radial arteries.
The interaction performance between virtual hand models and ultrafine, ultra-long flexible guidewires is excellent, providing robust theoretical and experimental support for virtual surgical training.