The dataset contains bone geometries of the left and right thigh (femur) and shank (tibia and fibula) segmented from magnetic resonance (MR) scans of 35 healthy volunteers (22 male, 13 female; height 155 cm to 193 cm, weight 45 kg to 108 kg, body mass index 17.0 kg/m2 to 34.8 kg/m2). If you are using this dataset, please cite: Nolte, D., Tsang, C.K., Zhang, K., Ding, Z., Kedgley, A.E., Bull, A.M.J., 2016. Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models. J. Biomech. 49, 3576–3581. doi:10.1016/j.jbiomech.2016.09.005

{"references": ["Nolte, D., Tsang, C.K., Zhang, K., Ding, Z., Kedgley, A.E., Bull, A.M.J., 2016. Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models. J. Biomech. 49, 3576\u20133581. doi:10.1016/j.jbiomech.2016.09.005", "Nolte, D., Bull, A.M.J., Kedgley, A.E., in submission. Reconstruction of the lower limb bones from sparse digitisation and statistical shape modelling."]}

The data were derived from work funded as part of the Medical Engineering Solutions in Osteoarthritis Centre of Excellence at Imperial College London, which is funded by the Wellcome Trust and the EPSRC (088844/Z/09/Z).