Surface-Current Measurements as Data for Electromagnetic Imaging Within Metallic Enclosures

Asefi, Mohammad; Faucher, G.; LoVetri, Joe

doi:10.1109/tmtt.2016.2605665

Cited by 21 publications

(25 citation statements)

References 20 publications

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“…The frequency range of interest expected to produce the highest magnetic suscep- tennas has been previously investigated in [69,70], where detailed analyses of the suitability of measuring fields within a quasi-resonant chamber are described.…”

Section: Antenna Designmentioning

confidence: 99%

“…The use of such a design not only shields the imaging chamber from the external instrumentation, cabling, and electromagnetic noise, but has several other advantages which have been investigated both theoretically and experimentally in recent years [69,70]. Among these advantages include the ability to use a lossless or low-loss matching medium to deliver more energy into the target, resulting in a higher SNR [69].…”

mentioning

confidence: 99%

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Enhanced Detection of Magnetic Nanoparticles Using a Novel Microwave Ferromagnetic Resonance Imaging System

Kaye

Gilmore

LoVetri

2021

IEEE Trans. Biomed. Eng.

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Although microwave imaging (MWI) remains a promising future diagnostic tool in breast cancer detection and monitoring, its progress towards widespread clinical application would greatly benefit from an improvement to its relatively low spatial and contrast resolution in delineating healthy and abnormal tissues, especially in comparison to established modalities such as mammography and magnetic resonance imaging (MRI). To this end, research has been undertaken in this work exploring multiple methods of improving the quality of MWI reconstructions.

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Section: Antenna Designmentioning

confidence: 99%

mentioning

confidence: 99%

Enhanced Detection of Magnetic Nanoparticles Using a Novel Microwave Ferromagnetic Resonance Imaging System

Kaye

Gilmore

LoVetri

2021

IEEE Trans. Biomed. Eng.

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“…The latter equation is useful when measurements are made at the PEC boundary of the chamber. On ∂V the tangential electric field is identically zero but the normal derivative, setting ζ = n, is related to the tangential magnetic field at the boundary that is not zero and measurable [34]. That is, from Maxwell's equation the magnetic-field components for the TM-mode are related to E z as…”

Section: Data-equations For the Inverse-source Solvermentioning

confidence: 99%

“…As outlined in [34], collecting the magnetic field at the PEC boundary provides several practical advantages, including a reduction in modeling error. In matrix form, Eq.…”

Section: Data-equations For the Inverse-source Solvermentioning

confidence: 99%

“…The performance of the contrast recovery stage is studied next by presenting some numerical test cases for various targets. Utilizing the reconstructed contrast source coefficients for several interrogating fields one can form the well-conditioned matrix equation (34). We first present the recovered contrast profiles obtained when different virtual constraints are imposed for regularization as discussed in Section 4.1.…”

Section: Contrast Recovery Stage Studymentioning

confidence: 99%

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Non-Iterative Eigenfunction-Based Inversion (Niei) Algorithm for 2d Helmholtz Equation

Abdollahi¹,

Jeffrey²,

LoVetri³

2019

PIER B

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A non-iterative inverse-source solver is introduced for the 2D Helmholtz boundary value problem (BVP). Microwave imaging within a chamber having electrically conducting walls is formulated as a time-harmonic 2D electromagnetic field problem that can be modelled by such a BVP. The novel inverse-source solver, which solves for contrast sources, is the first step in a two-stage process that recovers the complex permittivity of an object of interest in the second step. The unknown contrast sources, as well as the (permittivity) contrast, are represented using the eigenfunction basis associated with the chamber's shape; canonical shapes allowing for analytically defined eigenfunctions. This wholedomain eigenfunction basis allows the imposition of constraints on the contrast-source expansion at virtual spatial points or contours outside the imaging domain. These constraints effectively regularize the inverse-source problem and the result is a well-conditioned matrix equation for the contrast-source coefficients that is solved in a least-squares sense. The contrast-source coefficients corresponding to different illuminating fields are then utilized to recover the contrast expansion coefficients using one more well-conditioned matrix inversion. The performance of this algorithm is studied using a series of synthetic test problems. The results of this study are promising as they compare very well with, and at times out-perform, state-of-the-art inversion algorithms (both in terms of reconstruction quality and computation time).

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Detection and continuous monitoring of localised high-moisture regions in a full-scale grain storage bin using electromagnetic imaging

Asefi

Gilmore

Jeffrey

et al. 2017

Biosystems Engineering

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Surface-Current Measurements as Data for Electromagnetic Imaging Within Metallic Enclosures

Cited by 21 publications

References 20 publications

Enhanced Detection of Magnetic Nanoparticles Using a Novel Microwave Ferromagnetic Resonance Imaging System

Enhanced Detection of Magnetic Nanoparticles Using a Novel Microwave Ferromagnetic Resonance Imaging System

Non-Iterative Eigenfunction-Based Inversion (Niei) Algorithm for 2d Helmholtz Equation

Detection and continuous monitoring of localised high-moisture regions in a full-scale grain storage bin using electromagnetic imaging

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