Metamaterial-based microwave tomography and remote sensing using linear sampling method

Salarkaleji, Mehdi; Eskandari, Mohammadreza; Chen, Jimmy Ching-Ming; Wu, Chung-Tse Michael

doi:10.1109/cama.2017.8273394

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…The linear sampling method (LSM), which can be useful for monitoring stroke changes, 27 was employed as the imaging algorithm. Considering the qualitative nature of the algorithm applied, it was possible to confine the imaging to a two‐dimensional problem 28 …”

Section: Microwave Imaging System and Imaging Methodologymentioning

confidence: 99%

“…Considering the qualitative nature of the algorithm applied, it was possible to confine the imaging to a two-dimensional problem. 28 Let the bi-static total electric field matrix measured at frequency f i , 1 ≤ i ≤ 13 from the first phantom, be E 1i and the bi-static total electric field matrix measured from the second phantom and at the same frequency be E 2i . Assume that D is the sampling domain, which is known to encapsulate a horizontal cross-section of the brain phantom.…”

Section: Microwave Imaging System and Imaging Methodologymentioning

confidence: 99%

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Miniaturized coplanar Vivaldi antenna design for brain imaging

Uyanik

Demi̇rel

Akduman

2023

Micro & Optical Tech Letters

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We developed a miniaturized coplanar Vivaldi antenna (M-CPVA) for microwave imaging applications. First, a conventional coplanar Vivaldi antenna (CPVA) was designed. Then, the M-CPVA was developed by properly cropping the exponential flares. The impedance bandwidth and near-field electric field distribution of the M-CPVA were improved as compared to the conventional CPVA. In particular, the designed M-CPVA was 58.6 × 92 × 1.6 mm 3 in size and operated from 1 to 7.5 GHz, corresponding to a fractional bandwidth of 152%. Last, the produced M-CPVA was tested in a microwave imaging system for continuous monitoring of brain strokes. The stability and accuracy of the imaging results imply that the proposed antenna could be useful for microwave brain stroke monitoring applications.

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Section: Microwave Imaging System and Imaging Methodologymentioning

confidence: 99%

Section: Microwave Imaging System and Imaging Methodologymentioning

confidence: 99%

Miniaturized coplanar Vivaldi antenna design for brain imaging

Uyanik

Demi̇rel

Akduman

2023

Micro & Optical Tech Letters

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“…The papers most relevant to ours are [13], [14]. In these papers, a special meta-material based antenna system is used to probe metallic cylinders in a 2D configuration and spheres in 3D; for the latter, the antenna system has limited aperture.…”

Section: Introductionmentioning

confidence: 99%

Multifrequency Linear Sampling Method on Experimental Datasets

Monk,

Pena,

Selgas

2023

IEEE Trans. Antennas Propagat.

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We investigate the use of the Linear Sampling Method (LSM) for determining the shape of a scatterer from multi-frequency experimental data. We study three multifrequency indicators for two 2D data sets available online: one is provided by the Institut Fresnel, and another by the Electromagnetic Imaging Laboratory of the University of Manitoba. We show that the multi-frequency LSM works exceptionally well on the 2D Fresnel database, and also acceptably well on the Manitoba one. In particular, a new multi-frequency indicator is tested, and data completion for the Fresnel data set is studied. We also test an adaptive technique to cut down on the number of evaluations of the indicator function for well resolved scatterers.

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Multi-Target Continuous-Wave Vital Sign Radar using 24 GHz Metamaterial Leaky Wave Antennas

Yuan

Tseng

et al. 2019

2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)

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Metamaterial-based microwave tomography and remote sensing using linear sampling method

Cited by 4 publications

References 11 publications

Miniaturized coplanar Vivaldi antenna design for brain imaging

Miniaturized coplanar Vivaldi antenna design for brain imaging

Multifrequency Linear Sampling Method on Experimental Datasets

Multi-Target Continuous-Wave Vital Sign Radar using 24 GHz Metamaterial Leaky Wave Antennas

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