Metasurface-Enhanced Antenna for Microwave Breast Imaging

E. Razzicchia; A. Janjic; N. Ghavami; I. Akduman; M. Cayoren; P. Kosmas

Metasurface-Enhanced Antenna for Microwave Breast Imaging

E. Razzicchia
, A. Janjic
, N. Ghavami
, I. Akduman
, M. Cayoren
, P. Kosmas

Department of Electronics and Communication Engineering

King's College London
Meta Materials Inc.
Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2022 16th European Conference on Antennas and Propagation, EuCAP 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788831299046
Publication status	Published - 2022
Event	16th European Conference on Antennas and Propagation, EuCAP 2022 - Madrid, Spain Duration: 27 Mar 2022 → 1 Apr 2022

Publication series

Name	2022 16th European Conference on Antennas and Propagation, EuCAP 2022

Conference

Conference	16th European Conference on Antennas and Propagation, EuCAP 2022
Country/Territory	Spain
City	Madrid
Period	27/03/22 → 1/04/22

Bibliographical note

Publisher Copyright:
© 2022 European Association for Antennas and Propagation.

Funding

This research was supported by the EMERALD project funded from the European Union’s Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 764479. 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.

Funders	Funder number
Horizon 2020 Framework Programme
H2020 Marie Skłodowska-Curie Actions	764479
European Commission

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Huygens principle-based algorithm
breast cancer
metasurface-enhanced antennas
microwave imaging

Cite this

@inproceedings{01db165684e64131ae71d738c0b7cf03,

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 = "Huygens principle-based algorithm, breast cancer, metasurface-enhanced antennas, microwave imaging",

author = "E. Razzicchia and A. Janjic and N. Ghavami and I. Akduman and M. Cayoren and P. Kosmas",

note = "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",

}

Razzicchia, E, Janjic, A, Ghavami, N, Akduman, I , Cayoren, M & Kosmas, P 2022, Metasurface-Enhanced Antenna for Microwave Breast Imaging. in 2022 16th European Conference on Antennas and Propagation, EuCAP 2022. 2022 16th European Conference on Antennas and Propagation, EuCAP 2022, Institute of Electrical and Electronics Engineers Inc., 16th European Conference on Antennas and Propagation, EuCAP 2022, Madrid, Spain, 27/03/22.

Metasurface-Enhanced Antenna for Microwave Breast Imaging. / Razzicchia, E.; Janjic, A.; Ghavami, N. et al.
2022 16th European Conference on Antennas and Propagation, EuCAP 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 16th European Conference on Antennas and Propagation, EuCAP 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Metasurface-Enhanced Antenna for Microwave Breast Imaging

AU - Razzicchia, E.

AU - Janjic, A.

AU - Ghavami, N.

AU - Akduman, I.

AU - Cayoren, M.

AU - Kosmas, P.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Huygens principle-based algorithm

KW - breast cancer

KW - metasurface-enhanced antennas

KW - microwave imaging

UR - https://www.scopus.com/pages/publications/85130597195

M3 - Conference contribution

AN - SCOPUS:85130597195

T3 - 2022 16th European Conference on Antennas and Propagation, EuCAP 2022

BT - 2022 16th European Conference on Antennas and Propagation, EuCAP 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th European Conference on Antennas and Propagation, EuCAP 2022

Y2 - 27 March 2022 through 1 April 2022

ER -

Metasurface-Enhanced Antenna for Microwave Breast Imaging

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

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Cite this