The Use of Metasurfaces to Enhance Microwave Imaging: Experimental Validation for Tomographic and Radar-Based Algorithms

Navid Ghavami*, Eleonora Razzicchia, Olympia Karadima, Pan Lu, Wei Guo, Ioannis Sotiriou, Efthymios Kallos, George Palikaras, Panagiotis Kosmas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Over the last two decades, metamaterials (MMs) and metasurfaces (MTSs) have been used to fabricate innovative antenna designs, offering cost-effective solutions compared to conventional radiating systems. This paper investigates the feasibility of combining MM design concepts and imaging techniques to create innovative microwave imaging systems. In particular, we present an experimental study with the aim of enhancing microwave imaging for haemorrhagic stroke detection using a new MTS design. First, we show the improvement in performance for a stand-alone MTS-loaded antenna, by studying its operating characteristics in the near and far fields. Then, we assess the performance of the MTS on the reconstruction results from simulations and measurements on two tissue-mimicking gel-based brain phantoms with a cylindrical target representing the bleeding in haemorrhagic stroke. The brain phantom was immersed inside an imaging tank filled with 90% glycerol matching liquid. To perform the image reconstructions, we used both a Huygens based radar algorithm and a DBIM-TwIST tomography algorithm. Our simulation and measurement results indicate that the proposed MTS design improves target localization and decreases image artefacts for the tomographic algorithm and enables target's detection through our radar technique, paving the way for a hybrid microwave imaging prototype with MTS enhanced antennas.

Original languageEnglish
Pages (from-to)89-100
Number of pages12
JournalIEEE Open Journal of Antennas and Propagation
Volume3
DOIs
Publication statusPublished - 2022

Keywords

  • metasurfaces (MTSs)
  • microwave imaging (MWI)
  • microwave tomography
  • radar imaging

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