Stroke identification by means of microwave tomography requires a very accurate reconstruction the dielectric properties inside patient's head. This is possible when precise measurement system combined with full nonlinear inversion method. In this article, S-parameter data collected in metallic chamber performed strategy Lebesgue spaces nonconstant exponents. first time that kind electromagnetic formulation has been applied to problem. The inverse-scattering method incorporates 2-D model...

In the area of biomedical diagnostics, microwave imaging techniques have been recently proposed for performing brain stroke detection and monitoring. Indeed, theoretically, these make it possible to meet timeliness requirements such a diagnosis with portable systems. Moreover, relying on use microwaves, they are noninvasive allow continuous monitoring critical patients. this paper, problem is solved by exploiting multifrequency data an inexact-Newton method formulated in framework...

Abstract A mild data-driven approach for microwave imaging is considered in this paper. In particular, the developed technique relies upon use of a Newton-type inversion scheme variable-exponent Lebesgue spaces, which has been modified by including operator to enforce available a-priori information about class targets be investigated. way, performance method improved, and problems related possible convergence local minima are mitigated. The effectiveness evaluated through numerical...

In this paper, a novel antenna array diagnostic approach is presented. The failures in arrays are detected by means of non-Hilbertian Lebesgue-space Lp technique to solve the underlying inverse problem. solution problem enables retrieve distribution faulty feed excitations under test starting from far-field measurements. developed has been numerically validated. Simulations concern planar where different rates and distributions have tested. Results show good capabilities detecting damaged...

A hybrid inversion procedure for subsoil prospecting by ground-penetrating radar (GPR) measurements is proposed and experimentally validated in this letter. The approach integrates the benefits of qualitative beamforming an adaptive multifrequency (MF) inexact-Newton scheme formulated Lebesgue spaces with variable exponents. After a first preprocessing step aimed at estimating incident field, delay-and-sum (DAS) method provides initial image region interest. Then, algorithm exploits...

A microwave characterization technique to inspect subsurface scenarios is proposed and numerically assessed in this paper. The approach based on a combination of finite element electromagnetic modeling an inversion procedure Lebesgue spaces with variable exponents. former allows for description the measurement system scenario high accuracy, while latter exploits adaptive definition exponent function achieve improved results regularized solution inverse scattering problem. method has been...

An electromagnetic imaging technique for the characterization of targets embedded in stratified media is proposed.The method aims at reconstructing distributions dielectric properties from scattering S-parameters measurements through a nonlinear inversion variable-exponent Lebesgue spaces merged with finite-element formulation.The proposed validated numerically simulated three-layer scenario involving both single and multiple targets, showing good reconstruction capabilities.

In this paper, a microwave approach for brain stroke imaging is discussed. The developed technique relies on Newton iterative scheme performing regularization in Lebesgue spaces with non-constant exponent, which takes advantage of the simultaneous processing multiple frequencies to enhance reconstruction quality. effectiveness evaluated considering numerically simulated data concerning realistic 3D phantoms.

This paper proposes the use of microwave techniques for diagnosis and monitoring stroke in children. The main objective is to initiate an investigation into paediatric through a preliminary assessment using numerical simulations with realistic 3D models representing heads stroke-affected A Newton-type iterative procedure variable exponent Lebesgue space regularisation proposed as quantitative microwave-based reconstruction approach.

In this paper, a mild data driven inversion technique for microwave imaging applications is proposed. The developed approach relies upon the use of variable-exponent procedure, in which a-priori information about class inspected targets included through data-driven regularization term. has been preliminarily tested considering characterization inclusions partially known host structures, showing enhanced reconstruction capabilities with respect to bare scheme.

Quantitative inversion of GPR data opens the door to precise characterization underground environments. However, in order make inverse scattering problem solution easier from a computational viewpoint, simplifying assumptions are often applied, i.e., two-dimensional approximations or consideration idealized field probes and electromagnetic sources. These usually produce modeling errors, which can degrade dielectric reconstruction results considerably. In this article, processing step based...

Mismatch between measurements and model used inside the inversion scheme represent a critical point in subsurface electromagnetic imaging. In this paper, time-domain strategy based on use of long short-term memory cells is proposed. The approach assessed through set simulations where couple antennas are to acquire scattered-field data quasi-monostatic mode. A half-space numerical environment considered. processed then provided input nonlinear multi-frequency algorithm operating context...

The quantitative reconstruction of structures that include both metallic and dielectric targets at the same time is addressed in this article.In particular, a nonlinear tomographic inversion approach developed variable exponent Lebesgue spaces with finite element (FE) formulation adopted for first such configuration.Results obtained within simulated environment are presented to validate proposed technique analyze effects different numbers sizes present investigated scenario.Moreover, impact...