While most existing inversion algorithms used in MR elastography assume that the mechanical properties of tissue are isotropic, many tissues exhibit spatial anisotropy in structure that is not accommodated by these algorithms.1,2 In this work we present a framework for developing a learned inversion to address transverse isotropy, the simplest anisotropic case. A transversely isotropic stiffness matrix was used in a feed forward finite difference model to generate simulated displacements. The squared wave speeds anisotropic inclusions were calculated using direct inversion to validate the model against the theoretical wave speeds.3
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