Rapid personalized computational modeling of the wrist.

Computational modeling may help to develop new treatments for hand and wrist injuries, but at present, few models exist, as the time and expertise required is considerable. Moreover, most models do not allow for variation of material properties. We have developed an automated workflow combining morphing with algorithmic techniques to create personalized finite element models. Using this workflow, three personalized models were created from our existing four-dimensional computed tomography data. These were then used to demonstrate the usefulness of these models to investigate clinical questions, namely calibration of ligament properties to participant-obtained kinematics, and Monte Carlo analysis of the impacts of ligament injury on joint contact pressure, as an analogue for joint injury that may lead to osteoarthritis. New models can be created in 2 h and individual simulations performed in 45 s. This work enables future patient-specific modeling. Lastly, to encourage reproducibility, we have made the data, models, and code publicly available online.