Application of the DBIM-TwIST algorithm to experimental microwave imaging data

This work presents some preliminary results from applying our previously developed microwave imaging algorithm based on two-step iterative shrinkage/thresholding (TwIST) to data measured from an experimental microwave imaging system. Combining the distorted Born iterative method (DBIM) with the TwIST linear solver, our two-dimensional (2-D) algorithm is applied to reconstruct 2-D slices of the complex permittivity of the interrogated imaging domain. Experimental data are obtained by rotating a two-antenna system along the cylindrical imaging domain, which is filled with Triton X-100. The imaging object is an anatomically realistic breast phantom with a tube filled water representing the tumor-like target. Measurements are covered in the frequency range from 0.5 to 4.0 GHz. The paper presents reconstructed images at 900 MHz, while more results will be presented at the conference.