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

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dc.authorscopusid57194453146
dc.authorscopusid55650407500
dc.authorscopusid56780048100
dc.authorscopusid16400976800
dc.authorscopusid6601954863
dc.contributor.authorDilman, İsmail
dc.contributor.authorBilgin, Egemen
dc.contributor.authorCoşgun, Sema
dc.contributor.authorÇayören, Mehmet
dc.contributor.authorAkduman, İbrahim
dc.date.accessioned2022-05-11T14:17:39Z
dc.date.available2022-05-11T14:17:39Z
dc.date.issued2018
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü
dc.descriptionIEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) -- AUG 08-10, 2018 -- Reykjavik, ICELAND
dc.description.abstractIn 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.
dc.description.sponsorshipIEEE MTT-S
dc.description.sponsorshipIstanbul Technical UniversityIstanbul Technical University [MGA-2017-40824]
dc.description.sponsorshipThis work is supported by Istanbul Technical University under the project number MGA-2017-40824.
dc.identifier.isbn978-1-5386-5204-6
dc.identifier.scopus2-s2.0-85057132696
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6431
dc.identifier.wosWOS:000591822200026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDilman, İsmail
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2018 Ieee Mtt-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (Nemo)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectdiffraction tomography
dc.subjectcompressive sensing
dc.subjectbrain strokes
dc.subjectmicrowave imaging
dc.titleA Compressive Sensing Application on Microwave Diffraction Tomography for the Microwave Imaging of a Stroke Affected Human Brain
dc.typeConference Object

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