Abstract Summary
A multiscale modelling approach, which combines musculoskeletal simulations of a person’s gait and finite element analysis (FEA), can be used to predict proximal femoral growth. Before this workflow can be used in patient populations to answer clinically-relevant questions, it is of utmost importance to know how much subject-specific details are required for adequate modelling of femoral growth. In this study, we investigated the impact of subject-specific loading based on musculoskeletal models created from medical images on growth rate and direction computations. Our results showed that the inclusion of subject-specific geometry and motor control in the musculoskeletal simulations have a big impact on femoral growth prediction.
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