Confocal Microwave Imaging for Breast Cancer Detection Via Adaptive Beamforming

A new proposed technique with noninvasive ultra wide-band (UWB) for tumor cancer detection is investigated. The 2-Dimensions finite difference time domain (FDTD) model is used to simulate the scattered electromagnetic wave from the breast model. The skin backscattering and reflections from surrounding environments is reduced using a new algorithm. Consequently, the resulting signal is passed through the confocal imaging system and a modified adaptive Weighted Cabon Beamforming. The malignant tumors embedded within the structure of the breast can be detected and localized using the proposed algorithm and the modified covariance matrix which enhances the tumor backscattered signal.