3D Huygens Principle based Microwave Imaging through MammoWave Device: Validation through Phantoms.

Bilal Khalid, Bilal Khalid, Banafsheh Khalesi, Sandra Dudley-mcevoy, Mohammad Ghavami, Gianluigi Tiberi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This work focuses on developing a 3D microwave imaging (MWI) algorithm based on the Huygens principle (HP). Specifically, a novel, fast MWI device (MammoWave) has been presented and exploited for its capabilities of extending image reconstruction from 2D to 3D. For this purpose, dedicated phantoms containing 3D structured inclusion have been prepared with mixtures having different dielectric properties. Phantom measurements have been performed at multiple planes along the z-axis by simultaneously changing the transmitter and receiver antenna height via the graphic user interface (GUI) integrated with MammoWave. We have recorded the complex S21 multi-quote data at multiple planes along the z-axis. The complex multidimensional raw data has been processed via an enhanced HP-based image algorithm for 3D image reconstruction. This paper demonstrates the successful detection and 3D visualization of the inclusion with varying dimensions at multiple planes/cross-sections along the z-axis with a dimensional error lower than 7.5%. Moreover, the paper shows successful detection and 3D visualization of the inclusion in a skull-mimicking phantom having a cylindrically shaped inclusion, with the location of the detected inclusion in agreement with the experimental setup. Additionally, the localization of a 3D structured spherical inclusion has been shown in a more complex scenario using a 3-layer cylindrically shaped phantom, along with the corresponding 3D image reconstruction and visualization.
Original languageEnglish
Pages (from-to)106770 - 106780
Number of pages11
JournalIEEE Access
Volume10
DOIs
Publication statusPublished - 6 Oct 2022

Keywords

  • Huygens Principle (HP), MammoWave, Microwave Imaging (MWI), Ultra-wideband (UWB).

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