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This paper describes an approach for the microwave characterization of breast tumors based on the 2D-FDTD simulation. Tumors and the breast tissue are modeled as dielectric targets and homogeneous dispersive media by Debye model. The CNRs (complex natural resonances) of the tumors, which can be used to characterize the tumors, can be extracted by the Prony' s method directly from the time-domain response...
We present two improved multi-static adaptive microwave imaging (MAMI) methods: MAMI-2 and MAMI-C, for early breast cancer detection. MAMI is one of the microwave imaging modalities based the significant contrast between the dielectric properties of normal and malignant breast tissues and employs multiple antennas that take turns to transmit ultra wideband (UWB) pulses while all antennas are used...
We propose a new multi-static adaptive microwave imaging (MAMI) method for early breast cancer detection. MAMI is a two-stage robust Capon beamforming (RCB) based image formation algorithm. MAMI exhibits higher resolution, lower sidelobes, and better noise and interference rejection capabilities than the existing approaches. The effectiveness of using MAMI for breast cancer detection is demonstrated...
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