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ROI Limited Unknowns Reduction-Based Contrast Source Inversion for Microwave Breast Imaging

This letter introduces an accuracy-enhanced microwave imaging algorithm on the basis of contrast source inversion, aimed at a quantitative microwave breast cancer imaging scenario. The unknowns in the inverse scattering scheme form the most common difficulty in terms of providing an accurate dielectric profile with less measurement data. A region of interest limitation and an updating scheme are developed in this letter to reduce the number of unknowns. Numerical tests using several realistic breast phantom models demonstrate that our proposed method considerably enhances the reconstruction accuracy. The results show consistency even for typical situations where the amount of observed data is lower than the unknowns.