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Modenese L, Montefiori E, Wang A, Wesarg S, Viceconti M and Mazzà C, Investigation of the dependence of joint contact forces on musculotendon parameters using a codified workflow for image-based modelling, Journal of Biomechanics, 73, pp 108-118 (2018)
Abstract    View

The generation of subject-specific musculoskeletal models of the lower limb has become a feasible task thanks to improvements in medical imaging technology and musculoskeletal modelling software. Nevertheless, clinical use of these models in paediatric applications is still limited for what concerns the estimation of muscle and joint contact forces. Aiming to improve the current state of the art, a methodology to generate highly personalized subject-specific musculoskeletal models of the lower limb based on magnetic resonance imaging (MRI) scans was codified as a step-by-step procedure and applied to data from eight juvenile individuals. The generated musculoskeletal models were used to simulate 107 gait trials using stereophotogrammetric and force platform data as input. To ensure completeness of the modelling procedure, muscles’ architecture needs to be estimated. Four methods to estimate muscles’ maximum isometric force and two methods to estimate musculotendon parameters (optimal fiber length and tendon slack length) were assessed and compared, in order to quantify their influence on the models’ output. Reported results represent the first comprehensive subject-specific model-based characterization of juvenile gait biomechanics, including profiles of joint kinematics and kinetics, muscle forces and joint contact forces. Our findings suggest that, when musculotendon parameters were linearly scaled from a reference model and the muscle force-length-velocity relationship was accounted for in the simulations, realistic knee contact forces could be estimated and these forces were not sensitive the method used to compute muscle maximum isometric force.

This project aims to collect materials (guide and scripts) to guide users in creating musculoskeletal models of the lower limb from medical images.

This project aims to collect materials (guide and scripts) to guide users in creating musculoskeletal models of the lower limb from medical images.
Currently the material associated with the published paper is available from download at this website in its basic version,
An extended version of this material, including results of the simulations is also available at, via the following links:
1) the first Figshare link includes a detailed guide on how to build the models starting from the segmented bones and an archive with all the simulations run during the study.
2) the second Figshare link points to a collection of simple matlab scripts referenced in the codified procedure.
Please note that the procedure streamlines multiple programs:

You will need to download and install them from the provided links.


materials used in the manuscript

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