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Proceedings ArticleDOI

Hybrid reconstruction techniques for microwave imaging systems

01 Jul 2010-pp 198-203
TL;DR: In this paper, the authors describe some of the most interesting approaches recently proposed in the scientific literature, including the combination of stochastic algorithms (which are effective in addressing the ill-posedness of the inverse scattering problem) with fast deterministic methods.
Abstract: Microwave imaging systems require suitable reconstruction procedures in order to process the measured samples of the scattered electric field. Due to the ill-posedness of the related inverse problem, hybrid reconstruction techniques are considered in order to combine the main features of different inversion methods. Several different strategies can be followed. The present paper describes some of the most interesting approaches recently proposed in the scientific literature. In particular, the combination of stochastic algorithms (which are effective in addressing the ill-posedness of the inverse scattering problem) with fast deterministic methods is considered. Moreover, a hybrid strategy involving a qualitative reconstruction approach is also briefly discussed. Finally, a hybrid two-step focusing procedure is presented.
Citations
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Journal ArticleDOI
TL;DR: The scattering map of the breast is reconstructed by applying the matchingpursuit algorithm (MPA) to the simulation data obtained by the monostatic inverse synthetic aperture radar (ISAR) principle, and the locations of the tumors are determined by considering the peaks on the scattering map.
Abstract: In this study, the scattering map of the breast is reconstructed by applying the matchingpursuit algorithm (MPA) to the simulation data obtained by the monostatic inverse synthetic aperture radar (ISAR) principle, and the locations of the tumors are determined by considering the peaks on the scattering map. The MPA iteratively searches the true solution by assuming every discrete point in the solution space to be a scattering center by dividing the imaging region onto a discrete grid. In order to obtain images with better resolution, the fine granularity of the grid for accurate solutions is provided at the expense of increased processing times. First, our approach based on MPA is tested on simulated data generated by MATLAB for breast tumor detection and imaging. Perfect reconstruction for the locations of the hypothetical breast tumor points is attained. Then, a full-wave electromagnetic simulation software named CST Microwave Studio (CST MWS) is used to generate backscattered electric field data from a constructed scenario in which a tumor is located in a breast model. Next, we use the collected data from the defined scenarios as an input to our algorithm. Resultant images provide successful detection and imaging of the tumor region within the breast model. The accuracy of the MATLAB and the CST MWS simulation results demonstrate the availability of our MPA-based focusing algorithm to be used effectively in medical imaging.

12 citations

Proceedings ArticleDOI
01 Nov 2015
TL;DR: This paper reviews some recent developments on microwave imaging, which is a technique for short-range noninvasive inspection of unknown targets and proposes some examples of recently proposed inversion methods.
Abstract: This paper reviews some recent developments on microwave imaging, which is a technique for short-range noninvasive inspection of unknown targets. Some examples of recently proposed inversion methods are discussed and new applications of this diagnostic technique are briefly delineated.

2 citations


Cites methods from "Hybrid reconstruction techniques fo..."

  • ...Often, qualitative and quantitative methods are combined together in order to devise effective hybrid techniques [5], [34]-[37]....

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Proceedings ArticleDOI
01 Sep 2015
TL;DR: In this article, some recent developments in the field of electromagnetic inverse scattering methods for nondestructive evaluation and imaging are discussed, with particular reference to the approaches discussed in the ICEAA special session devoted to the same subject, whereas new ideas and trends are delineated with reference to specific applications, such as the ones proposed for imaging and diagnostics in the medical area.
Abstract: Some recent developments in the field of electromagnetic inverse scattering methods for nondestructive evaluation and imaging are discussed in this paper, with particular reference to the approaches discussed in the ICEAA special session devoted to the same subject. Linear, quadratic, and fully nonlinear models are considered, whereas new ideas and trends are delineated with reference to specific applications, such as the ones proposed for imaging and diagnostics in the medical area.

1 citations

27 Apr 2012
TL;DR: The results show that a reasonably accurate reconstruction could be attained using the multiple frequency LSM technique to detect single and multiple targets and that some frequencies, not know a priori, can deteriorate the detection of the target.
Abstract: In the field of inverse scattering problems of electromagnetic imaging, there are many techniques that can be used to detect unknown objects Generally these methods maintain a direct relationship between the precision of the target shape and the amount of time required to obtain the solution However, it has been shown that hybridization, or a combination of techniques, can be used to obtain the shape reconstruction that is accurate and less expensive computationally Previous research in the Computational Electromagnetics Group of Professor ElShenawee at the University of Arkansas has looked into the use of hybridization by combining the Level Set algorithm, a precise but slow shape reconstruction technique, with the Linear Sampling Method (LSM), a very fast technique It was found that taking the result from the LSM and using it as the initial guess of the Level Set algorithm can enhance the computational expenses The goal of this work is to implement a multiple frequency model of the LSM and to test it for two-dimensional metallic targets The results show that a reasonably accurate reconstruction could be attained using the multiple frequency LSM technique to detect single and multiple targets The results also show that some frequencies, not know a priori, can deteriorate the detection of the target However, averaging the detected targets over a band of frequencies has shown a potential of more accurate results compared to the use of a single frequency This work focused on the microwave band of frequency; however, the preliminary results will be extended to the terahertz band ACKNOWLEDGEMENTS Thanks goes to Dr Magda El-Shenawee, the Computational Electromagnetics Group leader at the University of Arkansas, for serving as the thesis advisor for this work Special thanks also goes to Dr Ahmed Hassan, who provided the scattering data from the objects under test and the original LSM code This work was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-10-2-0093 The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the US Government The US Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein

Cites methods from "Hybrid reconstruction techniques fo..."

  • ...2 To this end, it was suggested to use a method of hybridization between two techniques [9], [10]....

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01 Jan 2017
TL;DR: In this article, an experimental study on microwave imaging of breast cancer with the use of tumor phantom is presented, where an experimental setup containing sand, screw and tumor phantom was prepared as replacement of real tissue.
Abstract: Nowadays, breast cancer is the most common type of the cancer among women’s diseases. It is the leading cause of death after cardiovascular diseases. Due to risk of uncontrolled reproduction and propagation of the cancer cells, early diagnosis has a crucial importance. Microwave imaging (MWI) is an evolving method and has a variety of advantages such as operating at lower frequencies with a lower power, cost-effectiveness, and providing comfortable measurements without contact. In this paper, an experimental study on microwave imaging of breast cancer with the use of tumor phantom is presented. For this purpose, an experimental setup containing sand, screw and tumor phantom is prepared as replacement of real tissue. Two-dimensional inverse synthetic aperture radar (ISAR) method is used in handling the scattered electric field data from the measurement setup. Inverse radon transform (IRT) method is then utilized to extract the image of the measured scattering electric field data. The resultant images show that the microwave imaging method can be successfully used together with IRT for the breast cancer problem.
References
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Journal ArticleDOI
13 May 1983-Science
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Abstract: There is a deep and useful connection between statistical mechanics (the behavior of systems with many degrees of freedom in thermal equilibrium at a finite temperature) and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters). A detailed analogy with annealing in solids provides a framework for optimization of the properties of very large and complex systems. This connection to statistical mechanics exposes new information and provides an unfamiliar perspective on traditional optimization problems and methods.

41,772 citations

Proceedings ArticleDOI
06 Aug 2002
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.

35,104 citations


"Hybrid reconstruction techniques fo..." refers methods in this paper

  • ..., the simulated annealing [29], the genetic algorithm [30], the differential evolution method [31], the particle swarm optimization [32], the ant colony optimization method [33], etc....

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Journal ArticleDOI
Rainer Storn1, Kenneth Price
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Abstract: A new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented. By means of an extensive testbed it is demonstrated that the new method converges faster and with more certainty than many other acclaimed global optimization methods. The new method requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.

24,053 citations

01 Jan 1989

12,457 citations


"Hybrid reconstruction techniques fo..." refers background in this paper

  • ...It should be noted that stochastic optimization algorithms (e.g., the simulated annealing [29], the genetic algorithm [ 30 ], the differential evolution method [31], the particle swarm optimization [32], the ant colony optimization method [33], etc.) exhibit very interesting features....

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Book
01 Jan 1992
TL;DR: Inverse Medium Problem (IMP) as discussed by the authors is a generalization of the Helmholtz Equation for direct acoustical obstacle scattering in an Inhomogeneous Medium (IMM).
Abstract: Introduction.- The Helmholtz Equation.- Direct Acoustic Obstacle Scattering.- III-Posed Problems.- Inverse Acoustic Obstacle Scattering.- The Maxwell Equations.- Inverse Electromagnetic Obstacle Scattering.- Acoustic Waves in an Inhomogeneous Medium.- Electromagnetic Waves in an Inhomogeneous Medium.- The Inverse Medium Problem.-References.- Index

5,126 citations


"Hybrid reconstruction techniques fo..." refers background in this paper

  • ...Unfortunately, as can be deduced from equation (1), the problem is nonlinear due to the presence of the product between the two unknown quantities and ill-posed, since equation (1) is a Fredholm equation of the first kind [ 22 ][23]....

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