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Vol. 150, No. 3, March 2013, pp. 112-119




Magnetic Induction Tomography Modeling In Biological Tissue Imaging Using Two-Port Network Technique
1 Muhammad Saiful Badri MANSOR, 1 Mohd. Fahjumi JUMAAH, 2 Zulkarnay ZAKARIA, 1 Ruzairi ABDUL RAHIM, 1 Nor Muzakkir NOR AYOB, 1 Khairul Hamimah ABBAS, 3 Siti Zarina MOHD MUJI, 2 Sazali YAACOB, 1 Herlina ABDUL RAHIM, Leow PEI LING

1 Process Tomography Research Group (PROTOM-i),

Faculty of Electrical Engineering, Universiti Teknologi Malaysia,

81310 Skudai, Johor Bahru, Johor, Malaysia

Tel: +607-5537801

2 Biomedical Electronic Engineering Department,

School of Mechatronic Engineering, Universiti Malaysia Perlis,

02600 Arau, Perlis, Malaysia

3 Department of Computer Engineering,

Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia,

86400 Batu Pahat, Johor, Malaysia

E-mail: msbadri3@live.utm.my, zulkarnay@unimap.edu.my, ruzairi@fke.utm.my


Received: 21 February 2013   /Accepted: 19 March 2013   /Published: 29 March 2013

Digital Sensors and Sensor Sysstems


Abstract: Magnetic Induction Tomography (MIT) is a non-invasive and non-intrusive imaging technique which interested in passive electrical properties of a material that are permittivity, permeability and conductivity. MIT applies sinusoidal electromagnetic field generated by excitation coil. The electromagnetic signal propagates and then penetrates the material located in the region of interest (ROI). The eddy currents are induced within the material itself due to its conductivity property. These eddy currents generate secondary fields and then are measured at the receiver by the sensors. Secondary magnetic field carries the information of the electrical properties inside the material, thus it is very important in reconstructing the image of the material through the use of image reconstruction algorithm. This paper is intended to discuss the modeling of Magnetic Induction tomography (MIT) in biological tissue imaging using two-port network technique hence developed the sensitivity maps which is vital in image reconstruction algorithm.


Keywords: Magnetic induction tomography, Passive electrical properties, Biological tissue, Sensitivity maps, Two-port network


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