Literature DB >> 33783696

A feasibility study on microwave imaging of bone for osteoporosis monitoring.

Bilal Amin1,2, Atif Shahzad3,4, Lorenzo Crocco5, Mengchu Wang5, Martin O'Halloran6,7,3, Ana González-Suárez6,7, Muhammad Adnan Elahi6,7.   

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.

Entities:  

Keywords:  Dielectric properties; Feasible frequency band; Microwave imaging; Numerical modelling; Osteoporosis

Year:  2021        PMID: 33783696     DOI: 10.1007/s11517-021-02344-8

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  15 in total

Review 1.  Bone densitometry: the best way to detect osteoporosis and to monitor therapy.

Authors:  P D Miller; C Zapalowski; C A Kulak; J P Bilezikian
Journal:  J Clin Endocrinol Metab       Date:  1999-06       Impact factor: 5.958

2.  Can novel clinical densitometric techniques replace or improve DXA in predicting bone strength in osteoporosis at the hip and other skeletal sites?

Authors:  Eva-Maria Lochmüller; Ralph Müller; Volker Kuhn; Christoph A Lill; Felix Eckstein
Journal:  J Bone Miner Res       Date:  2003-05       Impact factor: 6.741

3.  Real-time microwave imaging of differential temperature for thermal therapy monitoring.

Authors:  Mark Haynes; John Stang; Mahta Moghaddam
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

4.  Modeling of the dielectric properties of trabecular bone samples at microwave frequency.

Authors:  Ramiro M Irastorza; Eugenia Blangino; Carlos M Carlevaro; Fernando Vericat
Journal:  Med Biol Eng Comput       Date:  2014-03-20       Impact factor: 2.602

5.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

6.  Clinical microwave tomographic imaging of the calcaneus: a first-in-human case study of two subjects.

Authors:  Paul M Meaney; Douglas Goodwin; Amir H Golnabi; Tian Zhou; Matthew Pallone; Shireen D Geimer; Gregory Burke; Keith D Paulsen
Journal:  IEEE Trans Biomed Eng       Date:  2012-07-17       Impact factor: 4.538

Review 7.  Dielectric properties of bones for the monitoring of osteoporosis.

Authors:  Bilal Amin; Muhammad Adnan Elahi; Atif Shahzad; Emily Porter; Barry McDermott; Martin O'Halloran
Journal:  Med Biol Eng Comput       Date:  2018-08-29       Impact factor: 2.602

8.  Clinician's Guide to Prevention and Treatment of Osteoporosis.

Authors:  F Cosman; S J de Beur; M S LeBoff; E M Lewiecki; B Tanner; S Randall; R Lindsay
Journal:  Osteoporos Int       Date:  2014-08-15       Impact factor: 4.507

Review 9.  Artificial intelligence on the identification of risk groups for osteoporosis, a general review.

Authors:  Agnaldo S Cruz; Hertz C Lins; Ricardo V A Medeiros; José M F Filho; Sandro G da Silva
Journal:  Biomed Eng Online       Date:  2018-01-29       Impact factor: 2.819

10.  Age-related changes in trabecular and cortical bone microstructure.

Authors:  Huayue Chen; Xiangrong Zhou; Hiroshi Fujita; Minoru Onozuka; Kin-Ya Kubo
Journal:  Int J Endocrinol       Date:  2013-03-18       Impact factor: 3.257

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