Three-dimensional microwave tomography: experimental prototype of the system and vector Born reconstruction method

Semenov, Serguei; Svenson, Robert H.; Bulyshev, A. E.; Souvorov, Alexander; Nazarov, A.G.; Sizov, Y.E.; Pavlovsky, A.V.; Borisov, V.Y.; Voinov, B.A.; Simonova, G. I.; Старостин, А. Н.; Posukh, V. G.; Tatsis, Giorgos; Baranov, V Yu

doi:10.1109/10.775403

Cited by 76 publications

(58 citation statements)

References 21 publications

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“…Experimental phantoms may be constructed from synthetic materials that accurately mimic tissue dielectric properties, 32 but the diverse and complex structural distributions of the breast are difficult to mimic in an experimental phantom. Accordingly, many prior experimental laboratory studies have been restricted to models consisting of arrangements of homogeneous cylindrical 24,26,33 or spherical 17,18,34 targets which do not accurately mimic the complexity of the breast. Numerical phantoms offer more flexibility in capturing the structural realism of breast tissue.…”

Section: Numerical Breast Phantomsmentioning

confidence: 99%

Three‐dimensional microwave imaging of realistic numerical breast phantoms via a multiple‐frequency inverse scattering technique

et al. 2010

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Purpose: Breast density measurement has the potential to play an important role in individualized breast cancer risk assessment and prevention decisions. Routine evaluation of breast density will require the availability of a low-cost, nonionizing, three-dimensional ͑3-D͒ tomographic imaging modality that exploits a strong properties contrast between dense fibroglandular tissue and less dense adipose tissue. The purpose of this computational study is to investigate the performance of 3-D tomography using low-power microwaves to reconstruct the spatial distribution of breast tissue dielectric properties and to evaluate the modality for application to breast density characterization. Methods: State-of-the-art 3-D numerical breast phantoms that are realistic in both structural and dielectric properties are employed. The test phantoms include one sample from each of four classes of mammographic breast density. Since the properties of these phantoms are known exactly, these testbeds serve as a rigorous benchmark for the imaging results. The distorted Born iterative imaging method is applied to simulated array measurements of the numerical phantoms. The forward solver in the imaging algorithm employs the finite-difference time-domain method of solving the timedomain Maxwell's equations, and the dielectric profiles are estimated using an integral equation form of the Helmholtz wave equation. A multiple-frequency, bound-constrained, vector field inverse scattering solution is implemented that enables practical inversion of the large-scale 3-D problem. Knowledge of the frequency-dependent characteristic of breast tissues at microwave frequencies is exploited to obtain a parametric reconstruction of the dispersive dielectric profile of the interior of the breast. Imaging is performed on a high-resolution voxel basis and the solution is bounded by a known range of dielectric properties of the constituent breast tissues. The imaging method is validated using a breast phantom with a single, high-contrast interior scattering target in an otherwise homogeneous interior. The method is then used to image a set of realistic numerical breast phantoms of varied fibroglandular tissue density. Results: Imaging results are presented for each numerical phantom and show robustness of the method relative to tissue density. In each case, the distribution of fibroglandular tissues is well represented in the resulting images. The resolution of the images at the frequencies employed is wider than the feature dimensions of the normal tissue structures, resulting in a smearing of their reconstruction. Conclusions:The results of this study support the utility of 3-D microwave tomography for imaging the distribution of normal tissues in the breast, specifically, dense fibroglandular tissue versus less dense adipose tissue, and suggest that further investigation of its use for volumetric evaluation of breast density is warranted.

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Section: Numerical Breast Phantomsmentioning

confidence: 99%

Three‐dimensional microwave imaging of realistic numerical breast phantoms via a multiple‐frequency inverse scattering technique

et al. 2010

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“…The case of using near-field measurements is of great importance, since it appears in biomedical imaging applications [6], [7]. However, such problems are nonlinear and ill-posed.…”

Section: Introductionmentioning

confidence: 99%

Microwave imaging: inversion of scattered near-field measurements

2001

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Abstract-In this paper, the problem of reconstructing the electromagnetic properties of unknown scatterers is treated by means of a spatial-domain technique. This technique combines the finite-element method and the Polak-Ribière nonlinear conjugate gradient optimization algorithm. The forward scattering problem is solved via the finite-element method, while the inversion is implemented by minimizing a cost function. This function consists of a standard error term and a regularization term. The first one is related to the scattered near-field measurements, which are obtained by illuminating the scatterer with plane waves from various directions of incidence. The regularization term is introduced in order to cope with the ill-posedness of the inversion. A sensitivity analysis, which is performed by an elaborate finite-element procedure, provides the direction required for updating the estimate of the scatterer profile. Significant reduction of the computation time is obtained by applying the adjoint-state-vector methodology.

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“…In the last two decades various inversion methods in the frequency and time domains suitable for large-size and high-contrast objects have been developed. Several approaches in the frequency domain are developed to reconstruct 3-D objects [19][20][21][22][23]. In the time-domain we have developed a reconstruction technique which is named forwardbackward time-stepping (FBTS) method [3].…”

Section: Introductionmentioning

confidence: 99%

A Breast Imaging Model Using Microwaves and a Time Domain Three Dimensional Reconstruction Method

Zhou¹,

Takenaka²,

Johnson³

et al. 2009

PIER

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Abstract-An iterative reconstruction algorithm for three-dimensional (3-D) microwave tomography by using time-domain microwave data is applied to detect breast tumor. A numeric breast model with randomly distributed glandular tissues (random size and permittivity) with a tumor is designed for the calculation of synthetic microwave data. An "air phantom" consisting of a section of polyvinyl chloride (PVC) pipe filled with styrofoam and a thin glass cylinder is constructed for collecting microwave data in laboratory. The "breast" and "air phantom" are reconstructed. Reconstruction results show that the "tumor" in the

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Three-dimensional microwave tomography: experimental prototype of the system and vector Born reconstruction method

Cited by 76 publications

References 21 publications

Three‐dimensional microwave imaging of realistic numerical breast phantoms via a multiple‐frequency inverse scattering technique

Three‐dimensional microwave imaging of realistic numerical breast phantoms via a multiple‐frequency inverse scattering technique

Microwave imaging: inversion of scattered near-field measurements

A Breast Imaging Model Using Microwaves and a Time Domain Three Dimensional Reconstruction Method

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