Preprocessing the Reciprocity Gap Sampling Method in Buried-Object Imaging Experiments

Ozdemir, Özgür; Haddar, Houssem

doi:10.1109/lgrs.2010.2047003

Cited by 20 publications

(17 citation statements)

References 16 publications

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“…Since the measurement geometry is typically not planar for whole breast ultrasound, an alternative approach is needed. A continuation method is used for a similar problem faced with electromagnetic inversion for arbitrary surfaces [16].…”

Section: Introductionmentioning

confidence: 99%

Redatuming of 2-D Wave Fields Measured on an Arbitrary-Shaped Closed Aperture

Taskin

Neut

Gemmeke

et al. 2020

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Whole breast ultrasound scanning systems are used to screen a women's breast for suspicious lesions. Typically, the transducers are located at fixed positions at relatively large distances from the breast to avoid any contact with the breast. Unfortunately, these large distances give rise to large spatial domains to be imaged. These large domains hamper the applicability of imaging by inversion. To reduce the size of the spatial computational domain, we present a two-dimensional redatuming method based on Hankel decomposition of the measured field. With this method, the field measured over an arbitrary-shaped closed curve can be redatumed to a new curve enclosing a smaller spatial domain. Additional advantages of the proposed method are that it allows to account for the finite size and orientation of a transducer and that it is robust to noise. The proposed method is successfully validated using synthetic and measured data and the results show that the recorded field can be redatumed to any position in the embedding. Index Terms-redatuming, full-wave inversion, 2-D breast ultrasound.

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Section: Introductionmentioning

confidence: 99%

Redatuming of 2-D Wave Fields Measured on an Arbitrary-Shaped Closed Aperture

Taskin

Neut

Gemmeke

et al. 2020

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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“…Imaging of concealed targets is an important problem, which can have different applications ranging from medical imaging [1][2][3] to subsurface sensing [4][5][6][7][8][9]. Main challenge for such inverse problems is that the solution procedures are expected to capture the electrical parameters (relative dielectric constant , conductivity ) of whole medium, which includes the buried objects [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…There are already several studies to remedy the a priori information problems of qualitative imaging methods [6,[15][16][17][18][19][20][21]. In [6], the reciprocity gap-linear sampling method (RG-LSM) is utilized to relieve LSM from the above mentioned constraints. In [15][16][17]19], different qualitative methods are assessed in biomedical applications for which a limited a priori information is available.…”

Section: Introductionmentioning

confidence: 99%

“…It is important to notice that if (i) is satisfied (ii) is already fulfilled, but the converse is not true. Furthermore, the second condition can be satisfied in certain practical applications like mine sweeping [24,25], subsurface sensing [4][5][6][7][8][9] or through-wall imaging [26,27], and so forth. (For the sake of clarity, let us further explain the through-wall example: it is not easy to completely characterize the dielectric parameters of a wall, but we can easily make a measurement on the different parts of this wall and use one of these measurements as reference.)…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental Assessment of Linear Sampling and Factorization Methods for Microwave Imaging of Concealed Targets

Akıncı

Caglayan

Ozgur

et al. 2015

International Journal of Antennas and Propagation

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Shape reconstruction methods are particularly well suited for imaging of concealed targets. Yet, these methods are rarely employed in real nondestructive testing applications, since they generally require the electrical parameters of outer object as a priori knowledge. In this regard, we propose an approach to relieve two well known shape reconstruction algorithms, which are the linear sampling and the factorization methods, from the requirement of the a priori knowledge on electrical parameters of the surrounding medium. The idea behind this paper is that if a measurement of the reference medium (a medium which can approximate the material, except the inclusion) can be supplied to these methods, reconstructions with very high qualities can be obtained even when there is no information about the electrical parameters of the surrounding medium. Taking the advantage of this idea, we consider that it is possible to use shape reconstruction methods in buried object detection. To this end, we perform several experiments inside an anechoic chamber to verify the approach against real measurements. Accuracy and stability of the obtained results show that both the linear sampling and the factorization methods can be quite useful for various buried obstacle imaging problems.

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Determination of electromagnetic source localization with factorization method

Karakiraz

Ertay

Gose

2021

Int. J. Microw. Wireless Technol.

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The factorization method (FM) is an attractive qualitative inverse scattering technique for the detection of geometrical features of unknown objects. This method depends on the selection of regularization parameters slightingly and has low calculation necessities. The aim of this work is to present a near-field FM for inverse source problems that have many applications. A modified test equation is obtained by converting the far-field term to Hankel's function. A different method has been proposed by manipulating the asymptotic approximation of Hankel's function in order to obtain near-field equations with incident angle and distance parameters. The novelty of this study is an integral equation based on the FM, which consists of multifrequency sparse near-field electric field measurements. We proved that the solution of the proposed integral equation gives information about the location of scatterers. The proposed algorithm is validated with simulation results and the capabilities of the presented method are assessed with several frequency regions and sources. Additionally, the presented method is compared with the direct sampling method in order to understand the performance of the proposed approach over a given scenario. The developed FM provides accurate results for electromagnetic source problems.

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Preprocessing the Reciprocity Gap Sampling Method in Buried-Object Imaging Experiments

Abstract: International audienc

Cited by 20 publications

References 16 publications

Redatuming of 2-D Wave Fields Measured on an Arbitrary-Shaped Closed Aperture

Redatuming of 2-D Wave Fields Measured on an Arbitrary-Shaped Closed Aperture

Experimental Assessment of Linear Sampling and Factorization Methods for Microwave Imaging of Concealed Targets

Determination of electromagnetic source localization with factorization method

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