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

Yasmin, Abdul Wahab and Ruzairi, Abdul Rahim and Fazalul, Rahiman and Suzzana, Ridzuan Aw and Fazlul Rahman, Mohd Yunus and Jaysuman, Pusppanathan and Nor Muzakkir , Nor Ayob and Leow, Pei Ling (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). pp. 32-36. ISSN 2229-838X. (Published)

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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 softfield 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.

Item Type:	Article
Uncontrolled Keywords:	Non-iterative algorithm; filtered back-projection; linear back-projection; hard-field; soft-field
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Ts. Dr. Yasmin Abdul Wahab
Date Deposited:	23 Jan 2018 05:59
Last Modified:	23 Jan 2018 06:01
URI:	http://umpir.ump.edu.my/id/eprint/19738
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