A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain

Smail Dilman; Egemen Bilgin; Sema Cosgun; Mehmet Cayoren; Ibrahim Akduman

doi:10.1109/NEMO.2018.8503132

A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain

Smail Dilman
, Egemen Bilgin
, Sema Cosgun
, Mehmet Cayoren
, Ibrahim Akduman

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

6 Atıf (Scopus)

Özet

In this paper, we present a diffraction tomography based compressive sensing technique for the monitoring of hemorrhagic brain strokes. The method uses the measurements of the scattered field data on two different time instants. The difference between two measurements constitutes the data that has been used for the diffraction tomography. Since this data is naturally sparse, the compressive sensing technique has been applied to take advantage of the sparsity. The results of numerical tests with a realistic human head phantom suggest that this approach produces more accurate results with fewer antennas, compared to the conventional microwave diffraction tomography. In addition robustness of the method is examined with 30db and 40db white Gaussian noise. The simulations show that the new method is also more robust than the conventional approach. Overall, by combining compressive sensing technique with the microwave diffraction tomography, a more practical and robust technique for the differential imaging is proposed.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781538652046
DOI'lar	https://doi.org/10.1109/NEMO.2018.8503132
Yayın durumu	Yayınlandı - 23 Eki 2018
Etkinlik	2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018 - Reykjavik, Iceland Süre: 8 Ağu 2018 → 10 Ağu 2018

Yayın serisi

Adı	2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018
Ülke/Bölge	Iceland
Şehir	Reykjavik
Periyot	8/08/18 → 10/08/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Finansman

This work is supported by Istanbul Technical University under the project number MGA-2017-40824.

Finansörler	Finansör numarası
Istanbul Teknik Üniversitesi	MGA-2017-40824

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 3 Sağlık ve Kaliteli Yaşam

Belgeye Erişim

10.1109/NEMO.2018.8503132

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Dilman, S., Bilgin, E., Cosgun, S., Cayoren, M., & Akduman, I. (2018). A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain. In 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018 Makale 8503132 (2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEMO.2018.8503132

Dilman, Smail ; Bilgin, Egemen ; Cosgun, Sema et al. / A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain. 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018).

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title = "A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain",

abstract = "In this paper, we present a diffraction tomography based compressive sensing technique for the monitoring of hemorrhagic brain strokes. The method uses the measurements of the scattered field data on two different time instants. The difference between two measurements constitutes the data that has been used for the diffraction tomography. Since this data is naturally sparse, the compressive sensing technique has been applied to take advantage of the sparsity. The results of numerical tests with a realistic human head phantom suggest that this approach produces more accurate results with fewer antennas, compared to the conventional microwave diffraction tomography. In addition robustness of the method is examined with 30db and 40db white Gaussian noise. The simulations show that the new method is also more robust than the conventional approach. Overall, by combining compressive sensing technique with the microwave diffraction tomography, a more practical and robust technique for the differential imaging is proposed.",

keywords = "Brain strokes, Compressive sensing, Diffraction tomography, Microwave imaging",

author = "Smail Dilman and Egemen Bilgin and Sema Cosgun and Mehmet Cayoren and Ibrahim Akduman",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018 ; Conference date: 08-08-2018 Through 10-08-2018",

year = "2018",

month = oct,

day = "23",

doi = "10.1109/NEMO.2018.8503132",

language = "English",

series = "2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018",

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Dilman, S, Bilgin, E, Cosgun, S, Cayoren, M & Akduman, I 2018, A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain. in 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018., 8503132, 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018, Reykjavik, Iceland, 8/08/18. https://doi.org/10.1109/NEMO.2018.8503132

A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain. / Dilman, Smail; Bilgin, Egemen; Cosgun, Sema et al.
2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8503132 (2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain

AU - Dilman, Smail

AU - Bilgin, Egemen

AU - Cosgun, Sema

AU - Cayoren, Mehmet

AU - Akduman, Ibrahim

PY - 2018/10/23

Y1 - 2018/10/23

N2 - In this paper, we present a diffraction tomography based compressive sensing technique for the monitoring of hemorrhagic brain strokes. The method uses the measurements of the scattered field data on two different time instants. The difference between two measurements constitutes the data that has been used for the diffraction tomography. Since this data is naturally sparse, the compressive sensing technique has been applied to take advantage of the sparsity. The results of numerical tests with a realistic human head phantom suggest that this approach produces more accurate results with fewer antennas, compared to the conventional microwave diffraction tomography. In addition robustness of the method is examined with 30db and 40db white Gaussian noise. The simulations show that the new method is also more robust than the conventional approach. Overall, by combining compressive sensing technique with the microwave diffraction tomography, a more practical and robust technique for the differential imaging is proposed.

AB - In this paper, we present a diffraction tomography based compressive sensing technique for the monitoring of hemorrhagic brain strokes. The method uses the measurements of the scattered field data on two different time instants. The difference between two measurements constitutes the data that has been used for the diffraction tomography. Since this data is naturally sparse, the compressive sensing technique has been applied to take advantage of the sparsity. The results of numerical tests with a realistic human head phantom suggest that this approach produces more accurate results with fewer antennas, compared to the conventional microwave diffraction tomography. In addition robustness of the method is examined with 30db and 40db white Gaussian noise. The simulations show that the new method is also more robust than the conventional approach. Overall, by combining compressive sensing technique with the microwave diffraction tomography, a more practical and robust technique for the differential imaging is proposed.

KW - Brain strokes

KW - Compressive sensing

KW - Diffraction tomography

KW - Microwave imaging

UR - https://www.scopus.com/pages/publications/85057132696

U2 - 10.1109/NEMO.2018.8503132

DO - 10.1109/NEMO.2018.8503132

M3 - Conference contribution

AN - SCOPUS:85057132696

T3 - 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018

BT - 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018

Y2 - 8 August 2018 through 10 August 2018

ER -

Dilman S, Bilgin E, Cosgun S, Cayoren M , Akduman I. A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain. In 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8503132. (2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018). doi: 10.1109/NEMO.2018.8503132

A Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain

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Finansman

BM SKH

Belgeye Erişim

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