Multilayered metamaterials array antenna based on artificial magnetic conductor's structure for the application diagnostic breast cancer detection with microwave imaging

Zerrad, Fatima-Ezzahra; Taouzari, Mohamed; Makroum, M.; Aoufi, Jamal El; Islam, Md. Tarikul; Özkaner, Vedat; Abdulkarim, Yadgar I.; Karaaslan, Muharrem

doi:10.1016/j.medengphy.2021.103737

Cited by 34 publications

(25 citation statements)

References 16 publications

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“…To have the best possible results, some works propose that the tissue must be immersed in a liquid [ 25 ]. In this sense, some works have proposed acquisition systems that deal with this issue [ 26 , 27 , 28 , 29 ].…”

Section: Technologies Used To Obtain Breast Tissue Imagesmentioning

confidence: 99%

Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms

Basurto-Hurtado

Cruz-Albarran

Toledano‐Ayala

et al. 2022

Cancers

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Breast cancer is one the main death causes for women worldwide, as 16% of the diagnosed malignant lesions worldwide are its consequence. In this sense, it is of paramount importance to diagnose these lesions in the earliest stage possible, in order to have the highest chances of survival. While there are several works that present selected topics in this area, none of them present a complete panorama, that is, from the image generation to its interpretation. This work presents a comprehensive state-of-the-art review of the image generation and processing techniques to detect Breast Cancer, where potential candidates for the image generation and processing are presented and discussed. Novel methodologies should consider the adroit integration of artificial intelligence-concepts and the categorical data to generate modern alternatives that can have the accuracy, precision and reliability expected to mitigate the misclassifications.

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Section: Technologies Used To Obtain Breast Tissue Imagesmentioning

confidence: 99%

Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms

Basurto-Hurtado

Cruz-Albarran

Toledano‐Ayala

et al. 2022

Cancers

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“…Additionally, in terms of frequency domain, we chose the terahertz bandgap as our desired spectral range based on the fact that the THz bandgap has been accessible only relatively-recently, and the exploration of different integrated-applications tailored to this spectral window is in its infant stages compared to the microwave and optical domains. Relevant applications that justify using these architectures in the THz bandgap include the development of integrated remote sensing systems for LIDAR-based industry and environmental applications [ 51 , 52 ], and THz-based molecular spectroscopy for cancer-related studies [ 53 , 54 ].…”

Section: Design Considerations and Simulation Conditionsmentioning

confidence: 99%

Spectral Response and Wavefront Control of a C-Shaped Fractal Cadmium Telluride/Silicon Carbide Metasurface in the THz Bandgap

Bărar

Dănilă

2022

Materials

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We report theoretical investigations on the spectral behavior of two fractal metasurfaces, performed in the 3–6 THz frequency window (5–10 μm equivalent wavelength window), under illumination with both linear and circular polarization state fields. Both metasurfaces stem from the same tree-like structure, based on C-shaped elements, made of cadmium telluride (CdTe), and deposited on silicon carbide (SiC) substrates, the main difference between them being the level of structural complexity. The simulated spectral behavior of both structures indicates the tunability of the reflection spectrum by varying the complexity of the tree-like structure.

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“…Approximately 8.2 million people have died from breast cancer [ 3 ]. Unfortunately, the incidence of breast cancer is expected to rise from 14 million to 22 million people in the next two decades, and it is expected to increase even more [ 4 , 5 ]. More than 1.8 million new breast cancer cases are reported worldwide each year.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is very expensive. In addition, the breast cannot be positioned correctly in this technique, which may lead to an incorrect diagnosis [ 5 , 6 , 13 ]. The aforementioned techniques have often resulted in errors and limitations in testing, prompting researchers to consider a new technique using microwaves [ 8 , 11 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Antenna-Array-Based Metamaterials for Non-Invasive Early-Stage Breast Tumor Detection in the Human Body

Hamza

Abdulkarim²,

Saeed

et al. 2022

Biosensors

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Microstrip patch antennas have been used in many applications since their appearance. Despite their great promise, their narrow bandwidth and the loss at high-frequency bands have limited their usage in medical applications. This work proposes a developed low-cost microstrip patch antenna suitable for microwave imaging (MWI) applications within the wideband frequency range. The proposed antenna is loaded with an artificial magnetic conductor (AMC) to improve the antenna performance. The simulated results obtained using computer simulation technology (CST) indicate that the presence of the AMC has improved the frequency selectivity of the antenna at 8.6 GHz with a peak realized gain of 9.90443 dBi and 10.61 dBi for simulated and measured results, respectively. The proposed microstrip antenna has been fabricated to validate the simulated results, and its performance is tested experimentally. Additionally, the fidelity factor of face-to-face (FtF) and side-by-side (SbS) scenarios have been presented. The breast phantom models with a tumor and the antenna operating as a transceiver have been numerically simulated for the application of cancer tumor cell detection. The work will have a significant impact on the design of electromagnetic biosensors.

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Multilayered metamaterials array antenna based on artificial magnetic conductor's structure for the application diagnostic breast cancer detection with microwave imaging

Cited by 34 publications

References 16 publications

Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms

Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms

Spectral Response and Wavefront Control of a C-Shaped Fractal Cadmium Telluride/Silicon Carbide Metasurface in the THz Bandgap

Low-Cost Antenna-Array-Based Metamaterials for Non-Invasive Early-Stage Breast Tumor Detection in the Human Body

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