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Medical & Biological Engineering & Computing

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30.03.2021 | Original Article

A feasibility study on microwave imaging of bone for osteoporosis monitoring

verfasst von: Bilal Amin, Atif Shahzad, Lorenzo Crocco, Mengchu Wang, Martin O’Halloran, Ana González-Suárez, Muhammad Adnan Elahi

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 4/2021

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Abstract

The dielectric properties of bones are found to be influenced by the demineralisation of bones. Therefore, microwave imaging (MWI) can be used to monitor in vivo dielectric properties of human bones and hence aid in the monitoring of osteoporosis. This paper presents the feasibility analysis of the MWI device for monitoring osteoporosis. Firstly, the dielectric properties of tissues present in the human heel are analysed. Secondly, a transmission line (TL) formalism approach is adopted to examine the feasible frequency band and the matching medium for MWI of trabecular bone. Finally, simplified numerical modelling of the human heel was set to monitor the penetration of E-field, the received signal strength, and the power loss in a numerical model of the human heel. Based on the TL formalism approach, 0.6–1.9-GHz frequency band is found to feasible for bone imaging purpose. The relative permittivity of the matching medium can be chosen between 15 and 40. The average percentage difference between the received signal for feasible and inconvenient frequency band was found to be 82%. The findings based on the dielectric contrast of tissues in the heel, the feasible frequency band, and the finite difference time domain simulations support the development of an MWI prototype for monitoring osteoporosis.

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Vorheriger Artikel Effect of triangular electrode schemes on Broca’s cortical stimulation: conventional and HD-tDCS study

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Titel: A feasibility study on microwave imaging of bone for osteoporosis monitoring
verfasst von: Bilal Amin
Atif Shahzad
Lorenzo Crocco
Mengchu Wang
Martin O’Halloran
Ana González-Suárez
Muhammad Adnan Elahi
Publikationsdatum: 30.03.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Medical & Biological Engineering & Computing / Ausgabe 4/2021
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI: https://doi.org/10.1007/s11517-021-02344-8

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Abstract

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