A Singular Value Decomposition approach for Microwave holography imaging of the breast: A feasibility study

In the last two decades, Microwave radar has been proposed as a complimentary technology for breast imaging. Microwave radar images illuminates the breast using an ultra wide band waveforms to form a map of the scatter caused by breast structures in which malignant lesions can potentially be detected. A common problem in Breast Microwave Radar (BMR) is the extraction of the breast structures in experimental datasets. This paper proposes presents some recent results on the use of Singular Value Decomposition for extracting the responses from breast structures on experimental datasets collected anthropomorphic phantoms. The results show that SVD can be used to extract the magnitude and phase information from experimental datasets, and be used to form accurate BMR images.