Joint imaging and musculosketal modelling

Chair: Raphael Dumas, Université de Lyon – IFSTTAR, France

Subject-specific data are used more and more frequently in musculoskeletal models to increase their bio-fidelity and their relevance for clinical applications. Muscle and bone geometries are derived from medical imaging, but joint range of motion, degrees of freedom, alignment, and contact locations mostly remain generic. This session will focus on joint imaging (e.g. CT-scan, MRI, EOS, and fluoroscopy) and its use for developing and/or validating subject-specific musculoskeletal models.


  • Wafa Skalli: Imaging data fusion and subject specific spine modelling
  • Ehsan Sarshari: CT-scan based patient-specific shoulder MS model
  • Raphaël Dumas: Personnalised MS model of knee OA patients