Elastography, or imaging of the elastic properties of materials has emerged as an important medical diagnostics tool in the last few decades. Its primary focus has been in the area of tumor detection where such inverse methods measure the relative stiffness of regions in tissue in comparison to its surrounding [1,2]. In load-bearing tissues like tendons and blood vessels, the underlying anisotropic structure of the tissue is distinctive and essential for proper function. In diseased or damaged tissue this structure is altered. Hence the potential for a tool to quantify relative changes not just in stiffness but also directionality is high. We have developed a generalized inverse mechanics method to estimate the regional anisotropy in inhomogeneous tissue. We use a structural model for fibrous tissue with exponential stress-strain relationship to generate test data for the inverse solver. We compare the input structural anisotropy of the fiber model with the evaluated mechanical anisotropy of the constitutive parameters.

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