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The weighted L2-norm total variation multiplicative regularized Gauss-Newton inversion method, recently developed for inversion of low-frequency deep electromagnetic geophysical measurements, is used for microwave biomedical imaging. This inversion algorithm automatically adjusts the regularization weight and provides edge-preserving characteristics. The accuracy of this method is demonstrated by inverting experimental data of a human forearm and synthetic data taken from brain and breast models, both assuming two-dimensional (2D) transverse magnetic illumination.
Antennas and Wireless Propagation Letters, IEEE (Volume:8 )
Date of Publication: 2009