Abstract
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 di-electric 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 to receive the reflected signals. The MAMI methods we investigate herein utilize the data-adaptive robust Capon beamformer (RCB) to achieve high resolution and interference suppression. We will demonstrate the effectiveness of our proposed methods for breast cancer detection via numerical examples with data simulated using the finite difference time domain (FDTD) method based on a 3-D realistic breast model.
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