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Remote Magnetic Navigation for Accurate, Real-time Catheter Positioning and Ablation in Cardiac Electrophysiology Procedures
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Toward Autonomous Pulmonary Artery Catheterization: A Learning-based Robotic Navigation System.

Yaxi Wang, Vivek Muthurangu, Helge A Wurdemann

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    Summary

    This study introduces an autonomous robotic system for cardiovascular catheterization using magnetic resonance imaging (MRI). The system successfully navigated catheters, reducing procedure times compared to manual methods.

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    Area of Science:

    • Interventional Cardiology
    • Medical Robotics
    • Magnetic Resonance Imaging

    Background:

    • Interventional cardiovascular treatments face imaging challenges.
    • Magnetic Resonance Imaging (MRI) offers radiation-free, high-resolution soft tissue imaging.
    • Limited clinician access and communication issues hinder MRI-guided catheterization.

    Purpose of the Study:

    • To explore the feasibility of autonomous catheterization robots for guiding catheters in complex vascular anatomies.
    • To develop and evaluate a Learning from Demonstration (LfD) based Gaussian Mixture Model (GMM) for robot trajectory optimization.
    • To assess the performance of an MR-compatible robotic system in pulmonary artery catheterization.

    Main Methods:

    • Implemented a Learning from Demonstration based Gaussian Mixture Model for robot trajectory optimization.
    • Integrated the algorithm into a 2 Degree-of-Freedom MR-compatible interventional robot.
    • Achieved autonomous navigation of the catheter tip through cardiac chambers into the pulmonary artery.

    Main Results:

    • The MR-compatible robot successfully followed the autonomous advancement trajectory generated by the LfD algorithm.
    • Autonomous and teleoperated procedures performed by the robot were significantly faster than manual catheterization.
    • Demonstrated successful catheter navigation from the inferior vena cava to the pulmonary artery.

    Conclusions:

    • Autonomous catheterization robots show promise in supporting catheter steering within complex vascular anatomies.
    • The developed LfD-GMM based robotic system is effective for MR-guided pulmonary artery catheterization.
    • Robotic assistance, both autonomous and teleoperated, can significantly reduce intervention times in cardiovascular procedures.