ArticleScientific reports2024
Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Tumor Detection and Characterization Using Microwave Imaging Technique-An Experimental Calibration Approach.Sensors (Basel, Switzerland) · 2026Article
- Combined Use of Microwave Sensing Technologies and Artificial Intelligence for Biomedical Monitoring and Imaging.Biosensors · 2026Review
- SMBO: a Sinusoidal Modulation Bi-population Optimizer for brain cancer MRI image clustering.Frontiers in neuroscience · 2026Article
- Article
- An effective solution for analyzing the electromagnetic scattering characteristics of composite conducting dielectric objects under multiple angle incidence.Scientific reports · 2025Article
- Development of in situ real-time sensor for molecular contamination.Scientific reports · 2025Article
- Design of PRS enabled monopole slotted-antenna sensor for breast tumor detection.Scientific reports · 2025Article
- Ultra-compact quintuple-band terahertz metamaterial biosensor for enhanced blood cancer diagnostics.PloS one · 2025Article
- Metamaterial-based Artificial magnetic conductor for efficient breast cancer diagnosis using a low-cost antenna array.Scientific reports · 2024Article
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Authors and funding
3 authors.
Funding
Abstract
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.
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