ArticleMedical & biological engineering & computing2021
A feasibility study on microwave imaging of bone for osteoporosis monitoring.
Article in Medical & biological engineering & computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 25 citations in OpenAlex.
- Molecularly Imprinted Polymers: Shaping the Future of Early-Stage Bone Loss Detection-A Review.ACS omega · 2024Review
- UWB Antenna with Enhanced Directivity for Applications in Microwave Medical Imaging.Sensors (Basel, Switzerland) · 2024Article
- Optimizing Cardiac Wireless Implant Communication: A Feasibility Study on Selecting the Frequency and Matching Medium.Sensors (Basel, Switzerland) · 2023Article
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Authors and funding
7 authors at 2 institutions in 3 countries.
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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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Registered trials
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