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Related Experiment Video

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Head-Mounted Augmented Reality Platform for Markerless Orthopaedic Navigation.

Xue Hu, Ferdinando Rodriguez Y Baena, Fabrizio Cutolo

    IEEE Journal of Biomedical and Health Informatics
    |June 11, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new augmented reality (AR) platform for markerless computer-assisted orthopedic surgery (CAOS) navigation using head-mounted displays (HMDs). The developed system enhances surgical accuracy and efficiency by eliminating the need for traditional markers.

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    Area of Science:

    • Medical Technology
    • Computer Science
    • Orthopedics

    Background:

    • Visual augmented reality (AR) offers potential improvements in accuracy, efficiency, and reproducibility for computer-assisted orthopedic surgery (CAOS).
    • Head-mounted displays (HMDs) in AR enable non-eye-shift target observation and egocentric views.
    • Markerless tracking and registration (MTR) algorithms can avoid issues associated with traditional artificial markers, such as prolonged workflow, human error, and additional surgical invasion.

    Purpose of the Study:

    • To develop a versatile, device-agnostic, and accurate HMD-based AR platform for markerless CAOS navigation.
    • To integrate MTR algorithms into AR HMDs for ergonomic and efficient surgical guidance.
    • To create a proof-of-concept markerless surgical navigation system for orthopedic procedures.

    Main Methods:

    • Developed a software platform supporting both video see-through (VST) and optical see-through (OST) modes.
    • Integrated two fast calibration procedures using a custom calibration tool.
    • Built a markerless surgical navigation system using the platform and Microsoft HoloLens 1 for femoral bone drilling assistance.

    Main Results:

    • The AR platform achieved display errors of 6.31 ± 2.55 arcmin (VST) and 7.72 ± 3.73 arcmin (OST) based on camera evaluation.
    • User study indicated that both VST and OST markerless navigation systems are reliable.
    • The optical see-through (OST) system demonstrated superior usability, with measured navigation errors of 4.36 ± 0.80 mm and 5.65 ± 1.42°.

    Conclusions:

    • The developed HMD-based AR platform enables accurate and ergonomic markerless navigation for CAOS.
    • The integration of MTR algorithms into AR HMDs is feasible and beneficial for surgical applications.
    • The OST markerless navigation system shows promise for improving usability and precision in orthopedic surgery.