@inbook{7aaacdf2d15940fd83e44aaae495f066,
title = "Metasurface-Enhanced Antenna for Microwave Breast Imaging",
abstract = "In this paper, a hardware advancement for a microwave multi-static system for breast cancer detection is presented. In particular, we propose a metasurface-enhanced antenna capable of enhancing relevant 'weak' signals backscattered by a tumour-mimicking target inserted in a breast phantom. Furthermore, we simulate a radar-based approach in CST Microwave Studio and use our previously developed Huygens principle-based algorithm to produce images of the target. Our results indicate that the proposed metasurface-enhanced antenna can improve target localization and decrease image artefacts. ",
keywords = "breast cancer, Huygens principle-based algorithm, metasurface-enhanced antennas, microwave imaging",
author = "E. Razzicchia and A. Janjic and N. Ghavami and I. Akduman and M. Cayoren and P. Kosmas",
note = "Funding Information: This research was supported by the EMERALD project funded from the European Union{\textquoteright}s Horizon 2020 under the Marie Sk{\l}odowska-Curie grant agreement No. 764479. Funding Information: This research was supported by the EMERALD project funded from the European Union's Horizon 2020 under the Marie Sklodowska-Curie grant agreement No. 764479. Publisher Copyright: {\textcopyright} 2022 European Association for Antennas and Propagation.; 16th European Conference on Antennas and Propagation, EuCAP 2022 ; Conference date: 27-03-2022 Through 01-04-2022",
year = "2022",
language = "English",
series = "2022 16th European Conference on Antennas and Propagation, EuCAP 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 16th European Conference on Antennas and Propagation, EuCAP 2022",
address = "United States",
}