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     Research Journal of Applied Sciences, Engineering and Technology


Implementation of Modified Conjugate Gradient Algorithm and Analysis of Convergence in Electromagnetic Tomography Lab System

1Li Liu and 2Wang Zhan-jun
1College of Physics Science and Technology, Shenyang Normal University, Shenyang 110034, China
2Computing and Mathematical Foundations of Teaching Department, Shenyang Normal University, China
Research Journal of Applied Sciences, Engineering and Technology  2013  5:889-894
http://dx.doi.org/10.19026/rjaset.6.4137  |  © The Author(s) 2013
Received: October 30, 2012  |  Accepted: December 28, 2012  |  Published: June 25, 2013

Abstract

Electromagnetic tomography technology is a new process tomography technology. The aim of this study is to develop a new image reconstruction algorithm suitable to electromagnetic tomography and verify its convergence. The advantages and development of electromagnetic tomography technology and image reconstruction algorithms are introduced briefly. Based on conjugate gradient algorithm, modified conjugate gradient algorithm for Electromagnetic Tomography (EMT) is proposed. Convergence of the modified conjugate gradient algorithm is analyzed. In the light of the lab electromagnetic tomography system, modified conjugate gradient algorithm for reconstructing images is verified. By evaluation of image error and the relevance, regularization algorithm, Landweber algorithm, conjugate gradient algorithm and modified conjugate gradient algorithm are compared. It can draw the conclusion that for different flow patterns, modified conjugate gradient algorithm is superior to other algorithms in the 8 coils electromagnetic tomography lab system.

Keywords:

Convergence, electromagnetic tomography, modified conjugate gradient algorithm,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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