A New Noninvasive Method for Determining the Conductivity of Tissue Embedded in Multilayer Biological Structure

Huang, Keh‐Ning; Xu, Xiao-Bang; Yan, Libo; Zhang, M.

doi:10.1163/156939302x00192

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Static permittivity (37 • C) 74.23 ε ∞ Limit permittivity at high frequencies 3.76 ε 2 Intermediate permittivity 4.98 τ 1 Time constant of the first relaxation 6.26 ps τ 2 Time constant of the second relaxation 0.157 ps permittivity ε lyt :…”

Section: The Aqueous Ground Substancementioning

confidence: 99%

“…They provide physical measures that are closely related to the underlying microstructure and chemical composition, can be used as indicators for non-invasive diagnosis and medical sensing [1][2][3], and are useful for computational dosimetry of electromagnetic waves [4][5][6][7][8] or computational evaluation of propagation in tissues for communication with biomedical devices [9,10]. Data on dielectric properties can be obtained through spectroscopic measurements [11].…”

Section: Introductionmentioning

confidence: 99%

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A Theoretical Model for the Frequency-Dependent Dielectric Properties of Corneal Tissue at Microwave Frequencies

Saviz¹,

Faraji‐Dana²

2013

PIER

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Abstract-This paper presents a structured model of the dielectric properties of the corneal tissue at microwave frequencies, based on the fine structure and chemical composition of its constituents. This is accomplished by appropriately combining the known properties of tissue substructures using mixing rules, in order to obtain the effective macroscopic properties of the medium. The presented approach is multi-scale: it begins from the microscopic scale and derives the macroscopic properties after several scale-steps. The predictions of the model agree with the existing measured data in the literature. Verification and analysis of the model sensitivity to input parameters have been presented. The model is expected to find application in non-invasive medical sensing where it can relate dielectric response to pathological structural changes in the tissue. The model is also useful for the prediction of dielectric properties for highfrequency computational dosimetry, and for understanding the physical mechanisms behind the macroscopic dielectric behaviour in general.

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Section: The Aqueous Ground Substancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Theoretical Model for the Frequency-Dependent Dielectric Properties of Corneal Tissue at Microwave Frequencies

Saviz¹,

Faraji‐Dana²

2013

PIER

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“…The inverse scattering problem has been an area of interest during the last two decades due to its various applications such as medical imaging and non-destructive testing [1][2][3][4][5][6][7]. The research into this field has led to the development of a multiplicity of inversion algorithms; see for example [8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Adapting the Normalized Cumulative Periodogram Parameter-Choice Method to the Tikhonov Regularization of 2-D/Tm Electromagnetic Inverse Scattering Using Born Iterative Method

LoVetri¹

2008

PIER M

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Abstract-A new method of choosing the regularization parameter, originally developed for a general class of discrete ill-posed problems, is investigated for electromagnetic inverse scattering problems that are formulated using a penalty method. This so-called Normalized Cumulative Periodogram (NCP) parameter-choice method uses more than just the norm of the residual to determine the regularization parameter, and attempts to choose the largest regularization parameter that makes the residual resemble white noise. This is done by calculating the NCP of the residual vector for each choice of the regularization parameter, starting from large values and stopping at the first parameter which puts the NCP inside the KolmogorovSmirnov limits. The main advantage of this method, as compared, for example, to the L-curve and Generalized Cross Validation (GCV) techniques, is that it is computationally inexpensive and therefore makes it an appropriate technique for large-scale problems arising in inverse imaging. In this paper, we apply this technique, with some modification, to the Tikhonov-regularized functional arising in the 2-D Transverse Magnetic (TM) inverse electromagnetic problem, which is formulated via an integral equation and solved using the Born iterative method (BIM). 112 Mojabi and LoVetri

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“…It has been effectively employed, with integral equation formulations, for determining the inverse scattering of 2-D homogenous objects located in free-space [7][8][9][10], and that buried in a stratified region [11,12]. Also, the GA has been used for determining the conductivity of tissue embedded in a multi-layer biological structure [13].…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging of Buried Inhomogeneous Objects Using Parallel Genetic Algorithm Combined With FDTD Method

Chen¹,

Huang²,

Xu³

2005

PIER

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Abstract-Microwave imaging of buried objects has been widely used in sensing and remote-sensing applications. It can be formulated and solved as inverse scattering problems.In this paper, we propose a hybrid numerical technique based on the parallel genetic algorithm (GA) and the finite-difference time-domain (FDTD) method for determining the location and dimensions of two-dimensional inhomogeneous objects buried in a lossy earth. The GA, a robust stochastic optimization procedure, is employed to recast the inverse scattering problem to a global optimization problem for its solution. To reduce its heavy computation burden, the GA-based inverse computation is parallelized and run on a multiprocessor cluster system. The FDTD method is selected for the forward calculation of the scattered field by the buried inhomogeneous object because it can effectively model an inhomogeneous object of arbitrary shape. Sample numerical results are presented and analyzed. The analysis of the numerical results shows that the proposed hybrid numerical technique is able to determine the location and dimension of a 2D buried inhomogeneous object, and the parallel computation can effectively reduce the required computation time.

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A New Noninvasive Method for Determining the Conductivity of Tissue Embedded in Multilayer Biological Structure

Cited by 5 publications

References 7 publications

A Theoretical Model for the Frequency-Dependent Dielectric Properties of Corneal Tissue at Microwave Frequencies

A Theoretical Model for the Frequency-Dependent Dielectric Properties of Corneal Tissue at Microwave Frequencies

Adapting the Normalized Cumulative Periodogram Parameter-Choice Method to the Tikhonov Regularization of 2-D/Tm Electromagnetic Inverse Scattering Using Born Iterative Method

Microwave Imaging of Buried Inhomogeneous Objects Using Parallel Genetic Algorithm Combined With FDTD Method

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