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Augmented Reality Navigation System for Biliary Interventional Procedures With Dynamic Respiratory Motion Correction.

Shuo Yang, Yongtian Wang, Danni Ai

    IEEE Transactions on Bio-Medical Engineering
    |January 19, 2024
    PubMed
    Summary

    This study introduces an augmented reality (AR) navigation system for biliary procedures. The AR system improves instrument tip (Tip) accuracy, reducing risks and radiation exposure during interventions.

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    Area of Science:

    • Medical Imaging
    • Surgical Navigation
    • Augmented Reality

    Background:

    • Biliary interventional procedures demand precise tracking of instrument tips (Tip) using X-ray imaging.
    • Current methods are limited by X-ray imaging constraints and respiratory motion, leading to potential biliary damage, longer procedures, and increased radiation exposure.

    Purpose of the Study:

    • To develop and evaluate an augmented reality (AR) navigation system for enhanced precision in biliary interventional procedures.
    • To address the challenges of instrument tip (Tip) tracking and respiratory interference in X-ray-guided interventions.

    Main Methods:

    • A novel AR navigation system integrating system calibration, respiratory motion correction, and virtual-real fusion was developed.
    • System calibration aligned magnetic and 3D computed tomography (CT) coordinates.
    • Respiratory motion correction utilized manifold regularization to address motion-induced misalignment, enabling dynamic virtual-real fusion of patient anatomy and instrument tip (Tip).

    Main Results:

    • The system achieved an average alignment error of 0.75 ± 0.17 mm on phantoms and 2.79 ± 0.46 mm on patients.
    • Navigation experiments on phantoms demonstrated an average Tip positioning error of 0.98 ± 0.15 mm and an average fusion error of 1.67 ± 0.34 mm post-correction.

    Conclusions:

    • The developed AR navigation system provides accurate and intuitive guidance for biliary interventional procedures.
    • The system automatically registers the instrument tip (Tip) to CT data and dynamically overlays 3D virtual models onto patients, reducing reliance on contrast agents and X-ray usage.