Wideband Antennas for Microwave Brain Stroke Imaging

Tuba Yilmaz; Mehmet Cayoren; Metin Acar; Ibrahim Akduman

doi:10.1109/APUSNCURSINRSM.2018.8609175

Wideband Antennas for Microwave Brain Stroke Imaging

Tuba Yilmaz, Mehmet Cayoren, Metin Acar, Ibrahim Akduman

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

Abstract

In this paper, a monopole antenna designed to operate in a matching medium is described. The dimensions of the antenna is optimized with Multi-Objective Particle Swarm Optimization (MOPSO) to obtain the desired reflection coefficient and gain characteristics. All simulations are performed with HFSS in an automated manner by the PSO algorithm via Matlab. The reflection coefficient of the antenna is tested by embedding it to the characterized matching medium. The dielectric properties of the medium is verified with the well known open ended coaxial probe measurement technique. The antenna will be tested with a phantom material mimicking the brain tissues and the results of the microwave imagine algorithm will be presented.

Original language	English
Title of host publication	2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1143-1144
Number of pages	2
ISBN (Electronic)	9781538671023
DOIs	https://doi.org/10.1109/APUSNCURSINRSM.2018.8609175
Publication status	Published - 2018
Event	2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Boston, United States Duration: 8 Jul 2018 → 13 Jul 2018

Publication series

Name	2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings

Conference

Conference	2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018
Country/Territory	United States
City	Boston
Period	8/07/18 → 13/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Brain Stroke Imaging
Microwave Imaging
Particle Swarm Optimization
Wideband Antenna

UN SDGs

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

Access to Document

10.1109/APUSNCURSINRSM.2018.8609175

Cite this

Yilmaz, T., Cayoren, M., Acar, M., & Akduman, I. (2018). Wideband Antennas for Microwave Brain Stroke Imaging. In 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings (pp. 1143-1144). Article 8609175 (2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APUSNCURSINRSM.2018.8609175

Yilmaz, Tuba ; Cayoren, Mehmet ; Acar, Metin et al. / Wideband Antennas for Microwave Brain Stroke Imaging. 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1143-1144 (2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings).

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abstract = "In this paper, a monopole antenna designed to operate in a matching medium is described. The dimensions of the antenna is optimized with Multi-Objective Particle Swarm Optimization (MOPSO) to obtain the desired reflection coefficient and gain characteristics. All simulations are performed with HFSS in an automated manner by the PSO algorithm via Matlab. The reflection coefficient of the antenna is tested by embedding it to the characterized matching medium. The dielectric properties of the medium is verified with the well known open ended coaxial probe measurement technique. The antenna will be tested with a phantom material mimicking the brain tissues and the results of the microwave imagine algorithm will be presented.",

keywords = "Brain Stroke Imaging, Microwave Imaging, Particle Swarm Optimization, Wideband Antenna",

author = "Tuba Yilmaz and Mehmet Cayoren and Metin Acar and Ibrahim Akduman",

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year = "2018",

doi = "10.1109/APUSNCURSINRSM.2018.8609175",

language = "English",

series = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Yilmaz, T , Cayoren, M , Acar, M & Akduman, I 2018, Wideband Antennas for Microwave Brain Stroke Imaging. in 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings., 8609175, 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1143-1144, 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018, Boston, United States, 8/07/18. https://doi.org/10.1109/APUSNCURSINRSM.2018.8609175

Wideband Antennas for Microwave Brain Stroke Imaging. / Yilmaz, Tuba ; Cayoren, Mehmet ; Acar, Metin et al.
2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1143-1144 8609175 (2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings).

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

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N2 - In this paper, a monopole antenna designed to operate in a matching medium is described. The dimensions of the antenna is optimized with Multi-Objective Particle Swarm Optimization (MOPSO) to obtain the desired reflection coefficient and gain characteristics. All simulations are performed with HFSS in an automated manner by the PSO algorithm via Matlab. The reflection coefficient of the antenna is tested by embedding it to the characterized matching medium. The dielectric properties of the medium is verified with the well known open ended coaxial probe measurement technique. The antenna will be tested with a phantom material mimicking the brain tissues and the results of the microwave imagine algorithm will be presented.

AB - In this paper, a monopole antenna designed to operate in a matching medium is described. The dimensions of the antenna is optimized with Multi-Objective Particle Swarm Optimization (MOPSO) to obtain the desired reflection coefficient and gain characteristics. All simulations are performed with HFSS in an automated manner by the PSO algorithm via Matlab. The reflection coefficient of the antenna is tested by embedding it to the characterized matching medium. The dielectric properties of the medium is verified with the well known open ended coaxial probe measurement technique. The antenna will be tested with a phantom material mimicking the brain tissues and the results of the microwave imagine algorithm will be presented.

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Yilmaz T , Cayoren M , Acar M , Akduman I. Wideband Antennas for Microwave Brain Stroke Imaging. In 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1143-1144. 8609175. (2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings). doi: 10.1109/APUSNCURSINRSM.2018.8609175

Wideband Antennas for Microwave Brain Stroke Imaging

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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