Loughborough University
Browse

A phantom investigation to quantify Huygens principle based microwave imaging for bone lesion detection

Download (2.95 MB)
journal contribution
posted on 2025-02-20, 11:31 authored by Banafsheh Khalesi, Behnaz SohaniBehnaz Sohani, Navid Ghavami, Mohammad Ghavami, Sandra Dudley, Gianluigi Tiberi
This paper demonstrates the outcomes of a feasibility study of a microwave imaging procedure based on the Huygens principle for bone lesion detection. This study has been performed using a dedicated phantom and validated through measurements in the frequency range of 1–3 GHz using one receiving and one transmitting antenna in free space. Specifically, a multilayered bone phantom, which is comprised of cortical bone and bone marrow layers, was fabricated. The identification of the lesion’s presence in different bone layers was performed on images that were derived after processing through Huygens’ principle, the S21 signals measured inside an anechoic chamber in multi-bistatic fashion. The quantification of the obtained images was carried out by introducing parameters such as the resolution and signal-to-clutter ratio (SCR). The impact of different frequencies and bandwidths (in the 1–3 GHz range) in lesion detection was investigated. The findings showed that the frequency range of 1.5–2.5 GHz offered the best resolution (1.1 cm) and SCR (2.22 on a linear scale). Subtraction between S21 obtained using two slightly displaced transmitting positions was employed to remove the artefacts; the best artefact removal was obtained when the spatial displacement was approximately of the same magnitude as the dimension of the lesion.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Electronics

Volume

8

Issue

12

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2019-12-03

Publication date

2019-12-9

Copyright date

2019

eISSN

2079-9292

Language

  • en

Depositor

Dr Behnaz Sohani. Deposit date: 12 July 2024

Article number

1505

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC