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Technical Program

Paper Detail

Paper:	IMDSP-P8.2
Session:	Biomedical Imaging
Time:	Wednesday, May 17, 16:30 - 18:30
Presentation:	Poster
Topic:	Image and Multidimensional Signal Processing: Biomedical Imaging
Title:	On Multi-static Adaptive Microwave Imaging Methods for Early Breast Cancer Detection
Authors:	Yao Xie, Bin Guo, Jian Li, University of Florida, United States; Petre Stoica, Uppsala University, Sweden
Abstract:	Multi-static Adaptive Microwave Imaging (MAMI) methods are presented and compared 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 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 simulated 3-D realistic breast model.