Fast Quantitative Microwave Imaging With Scattered-Power Maps

Shumakov, Denys S.; Nikolova, Natalia K.

doi:10.1109/tmtt.2017.2697383

Cited by 30 publications

(33 citation statements)

References 32 publications

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“…Generally, this is not true in Banach spaces. However, thanks to the Asplund Theorem, from (16) and by using again the chain rule for the derivatives of composite functions as in (9), the subgradient of the residual functional 1 r F (x n ) − y r Y at point x n in Banach spaces can be computed explicitly as:…”

Section: Extension To Banach Spacesmentioning

confidence: 99%

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Microwave Imaging by Means of Lebesgue-Space Inversion: An Overview

et al. 2019

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An overview of the recent advancements in the development of microwave imaging procedures based on the exploitation of the regularization theory in Lebesgue spaces is reported in this paper. Such inversion schemes have been found to provide accurate results in several microwave imaging scenarios, thanks to the different geometrical properties that Lebesgue spaces can exhibit with respect to the more classical Hilbert ones. Moreover, the recent extension to the more general case of variable-exponent Lebesgue spaces is also addressed. Experimental results involving reference data are shown for supporting the theoretical description of the approaches.

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Section: Extension To Banach Spacesmentioning

confidence: 99%

“…Consequently, proper inversion procedures need to be devised, to consider both these theoretical problems. To this end, several approaches have been proposed in the last years [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. They have been investigated in the context of Hilbert spaces, in most cases.…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging by Means of Lebesgue-Space Inversion: An Overview

et al. 2019

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“…Furthermore, appropriate inversion procedures, able to exploit the available a-priori information about the target, should be used in order to process the measurements made available by the hardware. In this framework, several interesting approaches have been recently introduced [9][10][11][12][13][14][15][16][17][18]. On the one hand, they have been designed in order to improve the capabilities of the so-called qualitative methods, which are aimed at retrieving only the presence/shape of targets, as well as some particular features of interest.…”

Section: Introductionmentioning

confidence: 99%

A Tomograph Prototype for Quantitative Microwave Imaging: Preliminary Experimental Results

et al. 2018

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A new prototype of a tomographic system for microwave imaging is presented in this paper. The target being tested is surrounded by an ad-hoc 3D-printed structure, which supports sixteen custom antenna elements. The transmission measurements between each pair of antennas are acquired through a vector network analyzer connected to a modular switching matrix. The collected data are inverted by a hybrid nonlinear procedure combining qualitative and quantitative reconstruction algorithms. Preliminary experimental results, showing the capabilities of the developed system, are reported.

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“…The imaging algorithm can be categorised based on the utilised frequency bandwidth e.g., single frequency, narrow-band multi-frequency, or ultra-wideband (UWB). In this case, the microwavebased imaging techniques can be divided into two main types of tomography [6]- [33] and beamforming [34]- [48]. Due to time-consuming nature of tomography-based techniques, they are mostly applicable to single frequency or narrow-band multi-frequency signals, while beamforming methods require wideband signals to create accurate images.…”

Section: Microwave Imaging Techniquesmentioning

confidence: 99%

“…The success of these techniques is highly dependent on the quality of the used model for forward problem solving. Therefore, an alternative class of methods based on the contrast source inversion method [30] with capability of solving the ill-posed inverse problem without a forward solver are proposed [31]- [33]. In these techniques, two sets of linear equations are solved in each iteration instead of solving the forward problem.…”

Section: Microwave Tomography Techniquementioning

confidence: 99%

Frequency-based microwave medical imaging techniques

Zamani¹

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Medical imaging is an important technique in diagnosis and monitoring of a variety of diseases by providing a visual representation of inner organs of the human body. Although existing imaging technologies like Magnetic Resonance Imaging (MRI) and Computational Tomography (CT) can provide high resolution and accurate images, they are still expensive, bulky and time-consuming; and hence, they are not accessible in rural, remote health centres and emergency units such as ambulances. This lack of sufficient imaging tools causes millions of death each year; and therefore, a low-cost, portable, non-invasive and fast imaging device that can be used as a diagnostic and monitoring tool is deemed beneficial.

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Fast Quantitative Microwave Imaging With Scattered-Power Maps

Cited by 30 publications

References 32 publications

Microwave Imaging by Means of Lebesgue-Space Inversion: An Overview

Microwave Imaging by Means of Lebesgue-Space Inversion: An Overview

A Tomograph Prototype for Quantitative Microwave Imaging: Preliminary Experimental Results

Frequency-based microwave medical imaging techniques

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