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Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection
Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection
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Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection
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Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection
Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection

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Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection
Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection
Journal Article

Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection

2024
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Overview
This study proposes an innovative geometry of a microstrip sensor for high-resolution microwave imaging (MWI). The main intended application of the sensor is early detection of breast, lung, and brain cancer. The proposed design consists of a microstrip patch antenna fed by a coplanar waveguide with a metamaterial (MTM) layer-based lens implemented on the back side, and an artificial magnetic conductor (AMC) realized on as a separate layer. The analysis of the AMC’s permeability and permittivity demonstrate that the structure exhibits negative epsilon (ENG) qualities near the antenna resonance point. In addition, reflectivity, transmittance, and absorption are also studied. The sensor prototype has been manufactures using the FR4 laminate. Excellent electrical and field characteristics of the structure are confirmed through experimental validation. At the resonance frequency of 4.56 GHz, the realized gain reaches 8.5 dBi, with 3.8 dBi gain enhancement contributed by the AMC. The suitability of the presented sensor for detecting brain tumors, lung cancer, and breast cancer has been corroborated through extensive simulation-based experiments performed using the MWI system model, which employs four copies of the proposed sensor, as well as the breast, lung, and brain phantoms. As demonstrated, the directional radiation pattern and enhanced gain of the sensor enable precise tumor size discrimination. The proposed sensor offers competitive performance in comparison the state-of-the-art sensors described in the recent literature, especially with respect to as gain, pattern directivity, and impedance matching, all being critical for MWI.