scholarly journals Magnetic Induction Tomography: Receiver Circuit and Its Design Criteria

2013 ◽  
Vol 64 (5) ◽  
Author(s):  
Zulkarnay Zakaria ◽  
Muhammad Saiful Badri Mansor ◽  
Ruzairi Abdul Rahim ◽  
Ibrahim Balkhis ◽  
Mohd Hafiz Fazalul Rahiman ◽  
...  
Keyword(s):  
Magnetic Induction ◽  
Imaging System ◽  
Frame Rate ◽  
Projection Algorithm ◽  
Industrial Processes ◽  
System Component ◽  
High Quality ◽  
Tomography System ◽  
Component Selection ◽  
Magnetic Induction Tomography

This paper discusses the receiver circuit and criteria for component selection towards the application of a real-time magnetic induction tomography system. Component selection plays an important role since image reconstruction of the object of interest with high quality and at a higher frame rate cannot be achieved without the right parameter criteria. The demands for a high quality imaging system have recently been increasing, especially in industrial processes involving dynamic movement, thus this paper may provide valuable information on better magnetic induction tomography system implementation for industrial processes and biomedical imaging through the use of a coil as a transmitter and also a receiver. The linear back projection algorithm has been employed in this system and has proven capable of identifying the location and size of the object based on the reconstructed images.

Simulative Study of Two-Phase Homogenous and Isotropic Media Imaging using Magnetic Induction Tomography

2014 ◽  
Vol 69 (8) ◽  
Author(s):  
Zulkarnay Zakaria ◽  
Ibrahim Balkhis ◽  
Lee Pick Yern ◽  
Nor Muzakkir Nor Ayob ◽  
Mohd Hafiz Fazalul Rahiman ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Magnetic Induction ◽  
Optical Tomography ◽  
Reconstruction Algorithm ◽  
Projection Algorithm ◽  
Back Projection ◽  
Two Phase ◽  
Excitation Coil ◽  
Magnetic Induction Tomography ◽  
Linear Back Projection

Magnetic induction tomography is a new non-invasive technology, based on eddy current discovery of electromagnetic induction by Michael Faraday. Through this technique, the passive electrical properties distribution of an object can be obtained by the use of image reconstruction algorithm implemented in this system. There are many types of image reconstruction that have been developed for this modality, however in this paper only two algorithms discussed, Linear Back Projection and Eminent Pixel Reconstruction. Linear Back Projection algorithm is the most basic type of image reconstruction. It is the simplest and fast algorithm out of all types of algorithms, whereas Eminent Pixel Reconstruction algorithm is an improved algorithm which provided better images and has been implemented in other modalities such as optical tomography. This paper has implemented Eminent Pixel Reconstruction in magnetic induction tomography applications and the performance is compared to Linear Back Projection based on the simulation of the fourteen types of simulated phantoms of homogenous and isotropic conductivity property. It was found that Eminent Pixel Reconstruction has produced better images relative to Linear Back Projection, however the images are still poor when the objects are located near to the excitation coil or sensor and it is worse when the distance between objects are near to each other.

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