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Updated: Dec 13, 2025

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Muscle Path Wrapping on Arbitrary Surfaces.

John E Lloyd, Francois Roewer-Despres, Ian Stavness

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    Summary
    This summary is machine-generated.

    This study introduces an efficient method for simulating muscle paths in musculoskeletal models. This innovation improves accuracy and speed for applications in surgical planning and real-time rehabilitation feedback.

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    Area of Science:

    • Biomechanics
    • Computational modeling
    • Medical simulation

    Background:

    • Musculoskeletal models are crucial for surgical planning and analyzing gait and movement.
    • Accurate muscle path simulation enhances force prediction and enables real-time clinical applications like rehabilitation.
    • Current methods for computing muscle wrapping paths can be computationally intensive.

    Purpose of the Study:

    • To develop a novel and efficient method for computing muscle wrapping paths around arbitrary surfaces.
    • To improve the speed and accuracy of musculoskeletal simulations.
    • To facilitate real-time clinical applications and patient-specific modeling.

    Main Methods:

    • Modeled muscle paths as massless, frictionless elastic strands.
    • Utilized artificial forces, independent of dynamic simulation, for tight wrapping around obstacles.
    • Employed a distance grid with quadratic interpolation for rapid and smooth contact computation with arbitrary surfaces.

    Main Results:

    • Achieved high accuracy with mean relative errors of 0.002 or better compared to exact solutions.
    • Demonstrated computational efficiency with strand update times around 0.5 msec for various bone-shaped obstacles.
    • Successfully implemented the method in the open-source simulation system ArtiSynth.

    Conclusions:

    • The developed method efficiently computes muscle wrapping paths on arbitrary surfaces.
    • This advancement supports the creation of patient-specific musculoskeletal models that conform to medical imaging data.
    • The method enhances possibilities for real-time clinical applications and improved surgical planning.