Abstract
This paper describes a workflow, for building detailed, subject-specific musculoskeletal models from magnetic resonance (MR) images allowing enhanced biomechanical analysis of gait. . Bones are segmented semi-automatically using a hybrid approach while muscles attachments are retrieved automatically by atlas-based non-rigid registration followed by optional interactive correction using a user-friendly interface. Compared to previously proposed methods for MR based musculoskeletal modeling, integration of automated image processing procedures and problem-tailored visualization techniques result in a considerable reduction of the processing time, thus making MR-based musculoskeletal modeling practically feasible and more attractive.
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Scheys, L., Jonkers, I., Loeckx, D., Maes, F., Spaepen, A., Suetens, P. (2006). Image Based Musculoskeletal Modeling Allows Personalized Biomechanical Analysis of Gait. In: Harders, M., Székely, G. (eds) Biomedical Simulation. ISBMS 2006. Lecture Notes in Computer Science, vol 4072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11790273_7
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DOI: https://doi.org/10.1007/11790273_7
Publisher Name: Springer, Berlin, Heidelberg
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