An Efficient Image Reconstruction Method for Breast Cancer Detection Using an Ultra-Wideband Microwave Imaging System

Chouiti, Sidi Mohammed; Merad, L.; Meriah, Sidi Mohammed; Raimundo, Xavier; Taleb‐Ahmed, Abdelmalik

doi:10.1080/02726343.2016.1158612

Cited by 12 publications

(6 citation statements)

References 15 publications

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Section: Introductionmentioning

confidence: 99%

“…Various methods and approaches in microwave imaging have been used for the detection, localization, and reconstruction of embedded objects. These include confocal techniques [1][2][3][4] and tomographic approaches. [5][6][7] In confocal microwave imaging, the object under test is illuminated with an electromagnetic wave, which is transmitted through an microstrip antenna, and the reflected signal, as result of the dielectric properties contrast between the object and its medium, is collected by the same antenna in the case of monostatic configuration 8 or antenna array in multistatic configuration.…”

Section: Introductionmentioning

confidence: 99%

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Monostatic imaging of an embedded object using a confocal algorithm

Chouiti

Merad

Meriah

et al. 2018

Int J Numerical Modelling

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In this paper, we present simulation results of monostatic configuration for microwave imaging system by using confocal algorithm to detect and localize metallic bars inserted in a concrete pillar. An ultra‐wideband antenna has been used. The dielectric property values of the model were chosen near those of the realities. However, we have changed the permittivity of the concrete pillar to study the effectiveness of the algorithm despite the introduction of different kind of concrete. Successful detection and localization of different shapes and positions of metallic bars of diameter as small as 4 mm are presented. The efficacy of the proposed algorithm was also demonstrated by adding noise to the backscattered signals before creating the image.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monostatic imaging of an embedded object using a confocal algorithm

Chouiti

Merad

Meriah

et al. 2018

Int J Numerical Modelling

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“…Microwave imaging science has enabled and helped us to resolve these problems. It is actually a good alternative for the other methods of detection [1]. Thanks to their advantages, ultra-wideband is one of the widely used technologies in the microwave imaging systems since the Federal Communication Commission (FCC) allocated the spectrum from 3.1 GHz up to 10.6 GHz in 2002 [2] for this technology communications.…”

Section: Introductionmentioning

confidence: 99%

“…Thanks to their advantages, ultra-wideband is one of the widely used technologies in the microwave imaging systems since the Federal Communication Commission (FCC) allocated the spectrum from 3.1 GHz up to 10.6 GHz in 2002 [2] for this technology communications. It can be defined as any technology using signals that have a bandwidth (BW) greater than 500 MHz or have a fractional bandwidth (FBW) greater than 20% of the center frequency, as described in (1) and (2) [3].…”

Section: Introductionmentioning

confidence: 99%

A Compact Modified Square Printed Planar Antenna for UWB Microwave Imaging Applications

Ziani¹,

Meriah²,

Merad³

2018

ijacsa

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In this paper, both frequency and time domain performances of a new compact planar antenna for the ultrawideband (UWB) applications are fully investigated. The proposed antenna has the size of 12x18 mm² providing a fractional bandwidth more than 128123% (3.057 GHz to 13.98 GHz, S11<-10 dB). The results show that the proposed antenna performances in term of wide bandwidth, small size, gain and radiation pattern, transmission coefficient and system fidelity factor are very satisfactory. Moreover, by fabricating and testing the proposed antenna, the simulation results are fairly verified.

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“…A kind of disease causing body cells to change and grow uncontrollably is called as cancer, infestation, or metastasis, which cancer cells diffuse to other tissues or organs in the body by lymph or blood . There are various cancer types; namely breast cancer, skin cancer, lung cancer, kidney cancer, prostate cancer, thyroid cancer, etc.…”

Section: Introductionmentioning

confidence: 99%

Breast cancer detection using K-nearest neighbors data mining method obtained from the bow-tie antenna dataset

Aydın

Keleş

2017

Int J RF Microw Comput Aided Eng

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Breast cancer, has been a significant cancer type for women on the society. Early diagnosis and timely medical treatment are important key factors spreading to the other tissues and permitting long-time survival of patients. Since the existing methods have several serious shortfalls, microwave imaging method for the diagnosis of early stage tumors has been interested by different scientific research groups in terms of moderating endogenous the electrical property difference between healthy tissue and malignancies. In this article, both an ultra-wideband bow-tie antenna with enhanced bandwidth and a 3D breast model which has different electrical properties which are permittivity and conductivity is created in simulation tool to solve electromagnetic field values. Return loss, VSWR, and radiation pattern characteristics, which are significant antenna parameters, are simulated and obtained whether the antenna possess an efficient characteristic or not. Electric field values over the breast tissue in which there is a tumor or not tumor are evaluated. In this article, above-mentioned values of frequency bandwidth, dielectric constant of antenna's substrate, electric field, and tumor information were consisted in their dataset. This dataset obtained from the Bow-Tie Antenna was used to detect the breast cancer with one of the data mining method, which is K-Nearest Neighbor Algorithm. K E Y W O R D S bow-tie antenna, breast cancer detection, data mining, dielectric properties, K-nearest neighbors algorithm, microwave imaging Int J RF Microw Comput Aided Eng. 2017;27:e21098.

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An Efficient Image Reconstruction Method for Breast Cancer Detection Using an Ultra-Wideband Microwave Imaging System

Cited by 12 publications

References 15 publications

Monostatic imaging of an embedded object using a confocal algorithm

Monostatic imaging of an embedded object using a confocal algorithm

A Compact Modified Square Printed Planar Antenna for UWB Microwave Imaging Applications

Breast cancer detection using K-nearest neighbors data mining method obtained from the bow-tie antenna dataset

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