Algebraic reconstruction techniques for inverse imaging

Abstract

Inverse microwave imaging has the potential to provide low cost solutions for medical imaging applications, such as in breast cancer detection. The mathematical challenges in the solution of inverse problems, namely non-linearity, ill-posedness and non-uniqueness, are well known and cause optimization algorithms to get stuck at local minima(s). In this… (More)

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