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  1. Home
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  5. Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography
 
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Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography

Journal
International Journal of Integrated Engineering
ISSN
2229838X
Date Issued
2017-01-01
Author(s)
Yasmin Abdul Wahab
Universiti Malaysia Pahang Al-Sultan Abdullah
Ruzairi Abdul Rahim
Universiti Tun Hussein Onn Malaysia
Mohd Hafiz Fazalul Rahiman
Universiti Malaysia Perlis
Suzzana Ridzuan Aw
Universiti Teknologi Malaysia
Fazlul Rahman Mohd Yunus
Universiti Teknologi Malaysia
Jaysuman Pusppanathan
Universiti Teknologi Malaysia
Nor Muzakkir Nor Ayob
Universiti Teknologi Malaysia
Leow Pei Ling
Universiti Teknologi Malaysia
Herlina Abdul Rahim
Universiti Teknologi Malaysia
Ida Laila Ahmad
Universiti Tun Hussein Onn Malaysia
Ariffuddin Jonet
Universiti Tun Hussein Onn Malaysia
Chia Kim Seng
Universiti Tun Hussein Onn Malaysia
Tee Kian Sek
Universiti Tun Hussein Onn Malaysia
Handle (URI)
https://hdl.handle.net/20.500.14170/12817
https://publisher.uthm.edu.my/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2012
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.
Subjects
  • Non-iterative algorit...

  • Filtered back-project...

  • Linear back-projectio...

  • Hard-field

  • Soft-field

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Inverse Problem Comparison between Linear Back Projection Algorithm.pdf (718.75 KB)
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