Subject-specific upper extremity modelling

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Insight into the mechanical interaction between muscles and bones can be of great help to understand normal function of the human body and to improve diagnoses and treatments of musculoskeletal disorders. This research presented in this thesis aims to improve the predictions of a musculoskeletal model of the shoulder and elbow (the Delft Shoulder and Elbow Model or DSEM) by extracting anatomical information from MRI scans and other imaging modalities. Several techniques are presented to personalise anatomical parameters and the effect on muscle and joint force predictions are calculated. Due to difficulties related to validation of modelling results and the limited ability to measure all relevant model parameters in vivo, it is concluded that subject-specific models are not likely to lead to a vast new range of applications in the near future.