The mechanical properties of human soft tissue are crucial for impactbiomechanics, rehabilitation engineering and surgical simulation. Validation ofthese constitutive models using human data remains challenging and oftenrequires the use of non-invasive imaging and inverse finite element (FE)analysis. Post processing data from imaging methods such as tagged magneticresonance imaging (MRI) can be challenging. Digital Image Correlation (DIC)however is a relatively straightforward imaging method and thus the goal ofthis study was to assess the use of DIC in combination with FE modelling todetermine the bulk material properties of human soft tissue. Indentationexperiments were performed on a silicone gel soft tissue phantom. A two cameraDIC setup was then used to record the 3D surface deformation. The experimentwas then simulated using a FE model.
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