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Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
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3D Vessel Visualization Techniques for Dialysis Fistulae.

Yu-Chi Chen, Chiu-Yang Lee, Tai-Wei Chen

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
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    Summary

    This study introduces a 3D computer vision technique for visualizing dialysis fistulas and vessels beneath the skin using augmented reality. This improves communication between hospital departments for better patient care.

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    Area of Science:

    • Medical imaging
    • Computer vision
    • Surgical planning

    Background:

    • Hemodialysis requires a vascular access, typically a dialysis fistula connecting an artery and vein.
    • Accurate localization of fistulas and vessels is crucial for effective hemodialysis but challenging due to their subcutaneous location.
    • Current communication methods between departments regarding fistula and vessel location are often imprecise.

    Purpose of the Study:

    • To develop and evaluate a 3D computer vision technique for augmented-reality visualization of subcutaneous dialysis fistulas and vessels.
    • To improve the accuracy of communicating vessel and fistula locations between medical teams.
    • To enhance the safety and efficacy of hemodialysis procedures.

    Main Methods:

    • Utilized 3D computer vision techniques to create and align 3D models of patient vasculature and external anatomy.
    • Developed an augmented-reality system for non-invasive visualization of internal vessel structures.
    • Performed accuracy evaluations using a wire as a simulated vessel in a controlled setting.

    Main Results:

    • The proposed technique enables augmented-reality visualization of subsurface vessels and dialysis fistulas.
    • Accuracy assessments demonstrated sufficient precision for practical clinical application.
    • The system effectively aligns 3D vascular models with the patient's external surface.

    Conclusions:

    • 3D computer vision and augmented reality offer a promising solution for visualizing deep-seated vascular structures.
    • This technology can significantly improve the precision of communication regarding dialysis fistula and vessel locations.
    • The developed technique has the potential to enhance hemodialysis planning and execution.