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Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Magnetic Induction Tomography (MIT) is a contactless and non-invasive method that is sensitive to the conductivity properties of an object. The application of the MIT in the biomedical field is in high demand, especially for brain monitoring and tumour imaging. However, the implementation of MIT for bone imaging application is not popular. In this paper, the performance of MIT for bone imaging is studied. The objective of this paper is to study the eddy current distribution for the bone with varying shape, size and location. The conductivity of the other tissue also will be considered to see its effect on the eddy current distribution. The model in this paper used one excitation coil of the 10 AWG copper wire with 10 turns. The frequency and current used in this study are 1 MHz and 1 A. The results show that the eddy current analysis able to detect the different shape, size and location of the bone. The eddy current density of the bone is 0.509 A/m2 for the size of 1 cm, which located at the centre of ROI. The value increases when the size of the bone is bigger and located near the transmitter coil. It also shows that the conductivity of the tissue affects the eddy current distribution.

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Acknowledgements

The authors would like to thank the Ministry of Higher Education (MOHE) through Fundamental Research Grant Scheme (FRGS/1/2018/TK03/UNIKL/02/2) for providing the financial support and System Engineering and Energy Laboratory (SEELab) for the guidance of this project.

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Correspondence to Muhamad Husaini Abu Bakar .

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Isamail, L., Abu Bakar, M.H. (2021). Finite Element Model of Magnetic Induction Tomography for Low Conductivity Sample. In: Akhyar (eds) Proceedings of the 2nd International Conference on Experimental and Computational Mechanics in Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0736-3_5

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  • DOI: https://doi.org/10.1007/978-981-16-0736-3_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0735-6

  • Online ISBN: 978-981-16-0736-3

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