SSMRT

  • The three-dimensional shape of biological structures fundamentally influences how they function. Statistical Shape Modelling (SSM) is an important keystone to unlocking and understanding the influences of shape. The Statistical Shape Modelling Research Toolkit (SSMRT) packages a set of powerful technologies that may be used to predict shape using one of our models or to create your own SSM.
  • Daniel Nolte, Department of Bioengineering, Imperial College London
    Angela Kedgley, Department of Bioengineering, Imperial College London
    Daniel Rueckert, Department of Computing, Imperial College London
    Anthony Bull, Department of Bioengineering, Imperial College London

  • Nolte D, Tsang CK, Zhang K, Ding Z, Kedgley AE, Bull AMJ. (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

    Nolte D, Ding ZY, Tsang CK, Zhang ZY, Rueckert D, Kedgley AE, Bull AMJ. Improving muscle force prediction in musculoskeletal simulator using statistical shape modelling. 21st Congress of the European Society of Biomechanics, July 5 – 8 2015, Prague, Czech Republic.

    Zhang KY, Kedgley AE, Donoghue CR, Rueckert D, Bull AMJ. The relationship between lateral meniscus shape and joint contact parameters in the knee: a study using data from the Osteoarthritis Initiative. Arthritis Res Ther 16, (2014), R27.

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    SOFTWARE LICENCE AGREEMENT
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    SCHEDULE 1 Acknowledgments

    If you use SSMRT, you should reference the following papers in any publication:

    Nolte D, Ding ZY, Tsang CK, Zhang ZY, Rueckert D, Kedgley AE, Bull AMJ. Improving muscle force prediction in musculoskeletal simulator using statistical shape modelling. 21st Congress of the European Society of Biomechanics, July 5 – 8 2015, Prague, Czech Republic.

    Zhang KY, Kedgley AE, Donoghue CR, Rueckert D, Bull AMJ. The relationship between lateral meniscus shape and joint contact parameters in the knee: a study using data from the Osteoarthritis Initiative. Arthritis Res Ther 16, (2014), R27.

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