Special Issue "Microwave Imaging and Electromagnetic Inverse Scattering Problems"

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (15 March 2019)

Special Issue Editors

Guest Editor
Dr. Loreto Di Donato

Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Viale A. Doia 6, I-95124 Catania (CT), Italy
Website | E-Mail
Interests: electromagnetic inverse scattering; biomedical microwave imaging; ground penetrating radar (GPR); antenna synthesis and design; cloaking
Guest Editor
Dr. Andrea F. Morabito

Department of Information, Infrastructures and Sustainable Energy (DIIES), University of Catania, Via Graziella, Loc. Feo di Vito, I-89124 Reggio Calabria (RC), Italy
Website | E-Mail
Interests: antenna optimal synthesis; microwave imaging; electromagnetic inverse scattering; satellite antenna communications; antenna design

Special Issue Information

Dear Colleagues,

Microwave imaging techniques allow to develop systems that are able to inspect, identify, and characterize, in a non-invasive fashion, different scenarios, ranging from biomedical to subsurface diagnostics, from surveillance and security applications to non-destructive evaluation. Such a great chance is actually severely limited by difficulties arising from the solution of the underlying inverse scattering problem. As a result, ongoing research efforts in this area are devoted to achieving inversion strategies and experimental apparatus so that they are as reliable as possible with respect to reconstruction capabilities and resolution performance.

The intent of this Special Issue is to collect the experiences of leading scientists in the electromagnetic inverse scattering community, as well as serving as an assessment tool for people who are new to the area of microwave imaging and electromagnetic inverse scattering problems.

This Special Issue intends to cover the following topics, but is not limited to them:

  • Novel microwave imaging approaches
  • Exact and approximated methods for microwave imaging
  • Qualitative and quantitative methods for microwave imaging
  • Local and global approaches for microwave imaging
  • Compressive Sensing based microwave imaging
  • Experimental facilities and apparatus
  • Antennas design for microwave imaging
  • Biomedical microwave tomography
  • Subsurface imaging and Ground Penetrating Radar (GPR)
  • Through-the-wall, Security and Surveillance microwave imaging
  • New emerging trends in microwave imaging
  • Microwave imaging at THz frequencies 

Indeed, works and results concerning the use of microwave imaging and electromagnetic inverse scattering techniques, as well the development of new application procedures, may fall within the scope of this Special Issue. Of course, papers must present novel achievements, or the advancement of previously-published results.

Dr. Loreto Di Donato
Dr. Andrea F. Morabito
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Electromagnetics inverse scattering problems
  • Microwave imaging
  • Nonlinear optimization for microwave imaging
  • Regularization techniques for microwave imaging
  • Compressive Sensing for microwave imaging
  • Biomedical microwave tomography
  • Subsurface microwave imaging
  • Ground Penetrating Radar
  • Antennas and arrays for microwave imaging

Published Papers (7 papers)

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Research

Open AccessArticle
Novel Stopping Criteria for Optimization-Based Microwave Breast Imaging Algorithms
J. Imaging 2019, 5(5), 55; https://doi.org/10.3390/jimaging5050055
Received: 25 April 2019 / Accepted: 14 May 2019 / Published: 22 May 2019
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Abstract
A discontinuous Galerkin formulation of the Contrast Source Inversion algorithm (DGM-CSI) for microwave breast imaging employing a frequency-cycling reconstruction technique has been modified here to include a set of automated stopping criteria that determine a suitable time to shift imaging frequencies and to [...] Read more.
A discontinuous Galerkin formulation of the Contrast Source Inversion algorithm (DGM-CSI) for microwave breast imaging employing a frequency-cycling reconstruction technique has been modified here to include a set of automated stopping criteria that determine a suitable time to shift imaging frequencies and to globally terminate the reconstruction. Recent studies have explored the use of tissue-dependent geometrical mapping of the well-reconstructed real part to its imaginary part as initial guesses during consecutive frequency hops. This practice was shown to improve resulting 2D images of the dielectric properties of synthetic breast models, but a fixed number of iterations was used to halt DGM-CSI inversions arbitrarily. Herein, a new set of stopping conditions is introduced based on an intelligent statistical analysis of a window of past iterations of data error using the two-sample Kolmogorov-Smirnov (K-S) test. This non-parametric goodness-of-fit test establishes a pattern in the data error distribution, indicating an appropriate time to shift frequencies, or terminate the algorithm. The proposed stopping criteria are shown to improve the efficiency of DGM-CSI while yielding images of equivalent quality to assigning an often liberally overestimated number of iterations per reconstruction. Full article
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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Open AccessArticle
A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis
J. Imaging 2019, 5(5), 51; https://doi.org/10.3390/jimaging5050051
Received: 5 February 2019 / Revised: 26 April 2019 / Accepted: 28 April 2019 / Published: 2 May 2019
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Abstract
A method to filter out the contribution of interference sources in array diagnosis is proposed. The interference-affected near field measured on a surface is treated as a (complex-data) image. This allows to use some modern image processing algorithms. In particular, two strategies widely [...] Read more.
A method to filter out the contribution of interference sources in array diagnosis is proposed. The interference-affected near field measured on a surface is treated as a (complex-data) image. This allows to use some modern image processing algorithms. In particular, two strategies widely used in image processing are applied. The first one is the reduction of the amount of information by acquiring only the innovation part of an image, as currently happens in video processing. More specifically, a differential measurement technique is used to formulate the estimation of the array excitations as a sparse recovery problem. The second technique has been recently proposed in video denoising, where the image is split into a low-rank and high-rank part. In particular, in this paper the interference field is filtered out using sparsity as discriminant adopting a mixed minimum 1 norm and trace norm minimization algorithm. The methodology can be applied to both near and far field measurement ranges. It could be an alternative to the systematic use of anechoic chambers for antenna array testing. Full article
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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Open AccessArticle
Qualitative Methods for the Inverse Obstacle Problem: A Comparison on Experimental Data
J. Imaging 2019, 5(4), 47; https://doi.org/10.3390/jimaging5040047
Received: 7 March 2019 / Revised: 29 March 2019 / Accepted: 8 April 2019 / Published: 10 April 2019
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Abstract
Qualitative methods are widely used for the solution of inverse obstacle problems. They allow one to retrieve the morphological properties of the unknown targets from the scattered field by avoiding dealing with the problem in its full non-linearity and considering a simplified mathematical [...] Read more.
Qualitative methods are widely used for the solution of inverse obstacle problems. They allow one to retrieve the morphological properties of the unknown targets from the scattered field by avoiding dealing with the problem in its full non-linearity and considering a simplified mathematical model with a lower computational burden. Very many qualitative approaches have been proposed in the literature. In this paper, a comparison is performed in terms of performance amongst three different qualitative methods, i.e., the linear sampling method, the orthogonality sampling method, and a recently introduced method based on joint sparsity and equivalence principles. In particular, the analysis is focused on the inversion of experimental data and considers a wide range of (distinct) working frequencies and different kinds of scattering experiments. Full article
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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Open AccessArticle
Contraction Integral Equation for Three-Dimensional Electromagnetic Inverse Scattering Problems
J. Imaging 2019, 5(2), 27; https://doi.org/10.3390/jimaging5020027
Received: 31 December 2018 / Revised: 30 January 2019 / Accepted: 31 January 2019 / Published: 8 February 2019
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Abstract
Inverse scattering problems (ISPs) stand at the center of many important imaging applications, such as geophysical explorations, industrial non-destructive testing, bio-medical imaging, etc. Recently, a new type of contraction integral equation for inversion (CIE-I) has been proposed to tackle the two-dimensional electromagnetic ISPs, [...] Read more.
Inverse scattering problems (ISPs) stand at the center of many important imaging applications, such as geophysical explorations, industrial non-destructive testing, bio-medical imaging, etc. Recently, a new type of contraction integral equation for inversion (CIE-I) has been proposed to tackle the two-dimensional electromagnetic ISPs, in which the usually employed Lippmann–Schwinger integral equation (LSIE) is transformed into a new form with a modified medium contrast via a contraction mapping. With the CIE-I, the multiple scattering effects, i.e., the physical reason for the nonlinearity in the ISPs, is substantially suppressed in estimating the modified contrast, without compromising physical modeling. In this paper, we firstly propose to implement this new CIE-I for the three-dimensional ISPs. With the help of the FFT type twofold subspace-based optimization method (TSOM), when handling the highly nonlinear problems with strong scatterers, those with higher contrast and/or larger dimensions (in terms of wavelengths), the performance of the inversions with CIE-I is much better than the ones with the LSIE, wherein inversions usually converge to local minima that may be far away from the solution. In addition, when handling the moderate scatterers (those the LSIE modeling can still handle), the convergence speed of the proposed method with CIE-I is much faster than the one with the LSIE. Secondly, we propose to relax the contraction mapping condition, i.e., different contraction mappings are used in updating contrast sources and contrast, and we find that the convergence can be further accelerated. Several numerical tests illustrate the aforementioned interests. Full article
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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Open AccessArticle
Developments in Electrical-Property Tomography Based on the Contrast-Source Inversion Method
J. Imaging 2019, 5(2), 25; https://doi.org/10.3390/jimaging5020025
Received: 4 December 2018 / Revised: 18 January 2019 / Accepted: 24 January 2019 / Published: 1 February 2019
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Abstract
The main objective of electrical-property tomography (EPT) is to retrieve dielectric tissue parameters from B^1+ data as measured by a magnetic-resonance (MR) scanner. This is a so-called hybrid inverse problem in which data are defined inside the reconstruction domain of [...] Read more.
The main objective of electrical-property tomography (EPT) is to retrieve dielectric tissue parameters from B ^ 1 + data as measured by a magnetic-resonance (MR) scanner. This is a so-called hybrid inverse problem in which data are defined inside the reconstruction domain of interest. In this paper, we discuss recent and new developments in EPT based on the contrast-source inversion (CSI) method. After a short review of the basics of this method, two- and three-dimensional implementations of CSI–EPT are presented along with a very efficient variant of 2D CSI–EPT called first-order induced current EPT (foIC-EPT). Practical implementation issues that arise when applying the method to measured data are addressed as well, and the limitations of a two-dimensional approach are extensively discussed. Tissue-parameter reconstructions of an anatomically correct male head model illustrate the performance of two- and three-dimensional CSI–EPT. We show that 2D implementation only produces reliable reconstructions under very special circumstances, while accurate reconstructions can be obtained with 3D CSI–EPT. Full article
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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Open AccessArticle
Full-Vectorial 3D Microwave Imaging of Sparse Scatterers through a Multi-Task Bayesian Compressive Sensing Approach
J. Imaging 2019, 5(1), 19; https://doi.org/10.3390/jimaging5010019
Received: 3 December 2018 / Revised: 30 December 2018 / Accepted: 8 January 2019 / Published: 15 January 2019
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Abstract
In this paper, the full-vectorial three-dimensional (3D) microwave imaging (MI) of sparse scatterers is dealt with. Towards this end, the inverse scattering (IS) problem is formulated within the contrast source inversion (CSI) framework and it [...] Read more.
In this paper, the full-vectorial three-dimensional (3D) microwave imaging (MI) of sparse scatterers is dealt with. Towards this end, the inverse scattering (IS) problem is formulated within the contrast source inversion (CSI) framework and it is aimed at retrieving the sparsest and most probable distribution of the contrast source within the imaged volume. A customized multi-task Bayesian compressive sensing (MT-BCS) method is used to yield regularized solutions of the 3D-IS problem with a remarkable computational efficiency. Selected numerical results on representative benchmarks are presented and discussed to assess the effectiveness and the reliability of the proposed MT-BCS strategy in comparison with other competitive state-of-the-art approaches, as well. Full article
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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Open AccessArticle
A Tomograph Prototype for Quantitative Microwave Imaging: Preliminary Experimental Results
J. Imaging 2018, 4(12), 139; https://doi.org/10.3390/jimaging4120139
Received: 1 October 2018 / Revised: 16 November 2018 / Accepted: 22 November 2018 / Published: 26 November 2018
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Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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