Modeling  the propagation of (shear) waves in tissues or tissue like media can give further insight and a  better understanding of the chances and challenges involved in shear wave elastography.
We are working on tissue models ranging from basic test cases to complex simulations involving nonlinear inhomogeneous materials and reflections while focusing on efficient computations at the same time.
These computational models are compared to experimental data obtained using high-frame-rate ultrasound imaging and optical coherence tomography.
Furthermore the models can be used to train machine learning frameworks, for more efficient and accurate processing of raw input data.