Coherent Time Reversal Sub-Array Processing for Microwave Breast Imaging
Foroohar Foroozan, Nazanin Hosseinkhah, Raviraj S. Adve
Abstract
This paper develops a new beamforming method using focused frequency time reversal (FFTR) matrices as well as the time reversal-based MUltiple SIgnal Classification (MUSIC) algorithm to focus spatially on the location of possible tumor for microwaves-based breast cancer detection. A key feature of the proposed method is that there is no need for prior knowledge of the constitutive properties of the breast tissue for breast clutter suppression; sliding sub-aperture data processing is used to focus on tumor location. Results from our electromagnetic finite difference time domain (FDTD) simulations demonstrate the accuracy in estimating both the tumor location as well as in suppressing the breast clutter using time reversal.
BibTeX
@inproceedings{icassp2018_coherenttimereve,
title = {Coherent Time Reversal Sub-Array Processing for Microwave Breast Imaging},
author = {Foroohar Foroozan and Nazanin Hosseinkhah and Raviraj S. Adve},
booktitle = {ICASSP 2018},
year = {2018}
}