Abstract
Clinical evaluation of the mechanical condition in musculoskeletal soft tissues is challenging due to the wide range in morphology, size, and function of the anatomical structures. Virtual biomechanical simulations in 3D anatomical models reconstructed from medical imaging provide an instrument to receive feedback on realistic mechanics and deformation, but require an adequate computational representation of the anisotropic fibrous architecture. In this study, we investigate the application of a Laplacian based approach as a collective basis to generate fiber bundle orientations in 3D anatomical models of the various musculoskeletal soft tissue structures. Methodological adaptations for specific cases are evaluated, while feasibility is demonstrated in anatomical examples of muscles and joint connective tissue structures.
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Acknowledgments
This work has been funded by the EU FP7 Marie-Curie ITN project MultiScaleHuman under Grant number 289897. We thank the University Hospital of Geneva in Switzerland, for providing the medical images, and the biomechanics laboratory LBB-MHH of the medical school in Hanover, Germany, for the experimental data of knee displacement.
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Choi, H.F., Chincisan, A., Magnenat-Thalmann, N. (2015). A Collective Approach for Reconstructing 3D Fiber Arrangements in Virtual Musculoskeletal Soft Tissue Models. In: Doyle, B., Miller, K., Wittek, A., Nielsen, P. (eds) Computational Biomechanics for Medicine. Springer, Cham. https://doi.org/10.1007/978-3-319-15503-6_11
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DOI: https://doi.org/10.1007/978-3-319-15503-6_11
Publisher Name: Springer, Cham
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