Active microwave imaging of inhomogeneous bodies

Pichot, Christian; Jofre, L.; Peronnet, G.; Bolomey, Jean-Charles

doi:10.1109/tap.1985.1143603

Cited by 165 publications

(51 citation statements)

References 21 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Tomographic methods (Born and Rytov approximation [3,4]) are generally based on weak and linear scattering assumptions and usually work well in non-metallic scattering scenarios. Several non-linear numeric iterative schemes [5][6][7][8][9][10] have been developed to attack the challenges but they are very time-consuming and need further exploration for realistic applications. In recent years, time reversal microwave imaging, which is a new radar-based approach, also attracts much research interest [11].…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging Based on Wideband Range Profiles

Yong¹

2010

PIER Letters

View full text Add to dashboard Cite

Abstract-In this paper, the microwave images of two-dimensional section of multiple objects are formed by using the wideband range profiles of the target. Scattered electric field is obtained by the designed two-dimensional imaging system and Fourier transformed into the highly-resolved range profiles while the target rotates. A filtered backprojection (FBP) algorithm is implemented to form the image from the space domain range profiles. Images of multiple cylindrical rods from both numerically simulated and measured data indicate that the approached imaging scheme can achieve high dynamic range and can be potentially implemented for biomedical imaging detections.

show abstract

Section: Introductionmentioning

confidence: 99%

Microwave Imaging Based on Wideband Range Profiles

Yong¹

2010

PIER Letters

View full text Add to dashboard Cite

show abstract

“…9, where we employed the same values for the BiCGSTAB routine tolerance and the parameters μ and γ as before. We notice lower glandular permittivity (absolute) values with the 2.5 mm cell size than with the 5 mm cell size reconstructions; this might be due to the increased weight of the regularization term relative to the data error in (2), given the larger number of cells in the summation (5). It can be seen that the 1.6 cm diameter tumor is reconstructed at the right location in Fig.…”

Section: Smaller Tumor Sizesmentioning

confidence: 85%

“…The focus in this paper is on the latter. Let us recall some early biomedical experiments that yielded two-dimensional (2D) transmission coefficient images [4] and 2D diffraction tomography (DT) images [5] of ex-vivo animal kidneys as well as 2D-DT images of an in-vivo human forearm [6]. Qualitative approaches also have been proposed, more recently, for breast cancer imaging, including ultra-wideband synthetic focusing techniques [7][8][9] and a linear sampling technique [10].…”

Section: Introductionmentioning

confidence: 99%

3d Microwave Tomography With Huber Regularization Applied to Realistic Numerical Breast Phantoms

Bai¹,

Franchois²,

Pižurica³

2016

PIER

View full text Add to dashboard Cite

Abstract-Quantitative active microwave imaging for breast cancer screening and therapy monitoring applications requires adequate reconstruction algorithms, in particular with regard to the nonlinearity and ill-posedness of the inverse problem. We employ a fully vectorial three-dimensional nonlinear inversion algorithm for reconstructing complex permittivity profiles from multi-view single-frequency scattered field data, which is based on a Gauss-Newton optimization of a regularized cost function. We tested it before with various types of regularizing functions for piecewise-constant objects from Institut Fresnel and with a quadratic smoothing function for a realistic numerical breast phantom. In the present paper we adopt a cost function that includes a Huber function in its regularization term, relying on a Markov Random Field approach. The Huber function favors spatial smoothing within homogeneous regions while preserving discontinuities between contrasted tissues. We illustrate the technique with 3D reconstructions from synthetic data at 2 GHz for realistic numerical breast phantoms from the University of Wisconsin-Madison UWCEM online repository: we compare Huber regularization with a multiplicative smoothing regularization and show reconstructions for various positions of a tumor, for multiple tumors and for different tumor sizes, from a sparse and from a denser data configuration.

show abstract

“…Pseudo inverse transformation is applied on matrix to solve electromagnetic problem in [8]. Dielectric profile reconstruction of human arm and horse kidney is shown using models in [9]. Dielectric profile reconstruction using stochastic technique known as simulated annealing is described greatly in [10].…”

Section: Introductionmentioning

confidence: 99%

Application of Group Theory for Computation Reduction in Microwave Imaging of Human Breast Model at 500 MHZ

Patel¹,

Ghodgaonkar²

2016

PIER M

View full text Add to dashboard Cite

Abstract-In microwave imaging, accuracy of breast cancer detection depends on complex permittivity profile reconstruction in breast. Inverse scattering problem is solved to reconstruct complex permittivity profile of breast. In this paper, computation time to solve inverse scattering problem is reduced by exploiting symmetry present in breast models using group theory. Forward problem is solved using method of moments. Levenberg-Marquardt algorithm is used to solve inverse scattering problem with and without group theory. Results show that computation time is reduced considerably by exploiting symmetry present in breast models using group theory. At higher SNR, error in complex permittivity reconstruction with group theory is approximately same as error without group theory.

show abstract

Active microwave imaging of inhomogeneous bodies

Cited by 165 publications

References 21 publications

Microwave Imaging Based on Wideband Range Profiles

Microwave Imaging Based on Wideband Range Profiles

3d Microwave Tomography With Huber Regularization Applied to Realistic Numerical Breast Phantoms

Application of Group Theory for Computation Reduction in Microwave Imaging of Human Breast Model at 500 MHZ

Contact Info

Product

Resources

About