Inverse Problem: Comparison between Linear Back-Projection Algorithm and Filtered Back-Projection Algorithm in Soft-Field Tomography

  • Yasmin Abdul Wahab

Abstract

An image reconstruction algorithm in process tomography is very important in ensure that the reconstructed image is satisfied.  The back-projection algorithm is the most popular algorithm applied in process tomography including a linear back-projection (LBP) algorithm and a filtered back-projection (FBP) algorithm.  The objectives of this paper are: (1) to compare the result from LBP and FBP algorithm in soft-field tomography, and (2) to investigate the effect of FBP algorithm to a reconstructed image in soft-field tomography. Also, a comparison between hard-field tomography (ultrasonic tomography) and soft-field tomography (electrical resistance tomography, ERT) had been discussed in this paper.  The ERT had been conducted based on a simulation using COMSOL Multiphysics live link with MATLAB software.  As a result, a nature behavior of soft-field gave a main factor of inaccurate position of reconstructed image using FBP algorithm.  When it multiplied with the concentration profile from LBP result, a “hill” surface sensitivity distribution and a color scale shifted in FBP gave inaccurate result. Therefore, it is believed that it gave a reason of why the FBP algorithm is not the concern on reconstructing image in soft-field tomography.

 

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Published
18-12-2017
How to Cite
Abdul Wahab, Y. (2017). Inverse Problem: Comparison between Linear Back-Projection Algorithm and Filtered Back-Projection Algorithm in Soft-Field Tomography. International Journal of Integrated Engineering, 9(4). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2012