  The mechanical properties of human soft tissue are crucial for impact
biomechanics, rehabilitation engineering and surgical simulation. Validation of
these constitutive models using human data remains challenging and often
requires the use of non-invasive imaging and inverse finite element (FE)
analysis. Post processing data from imaging methods such as tagged magnetic
resonance imaging (MRI) can be challenging. Digital Image Correlation (DIC)
however is a relatively straightforward imaging method and thus the goal of
this study was to assess the use of DIC in combination with FE modelling to
determine the bulk material properties of human soft tissue. Indentation
experiments were performed on a silicone gel soft tissue phantom. A two camera
DIC setup was then used to record the 3D surface deformation. The experiment
was then simulated using a FE model.
