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Comparison of Analytical BP-FBP and Algebraic SART-SIRT Image Reconstruction Methods in Computed Tomography for the Oil Measurement System

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Cyber-Physical Systems and Control (CPS&C 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 95))

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Abstract

An imbalance between the produced oil entering the pipeline and the oil received by consumers is a real problem. To solve the problem, we propose to use methods of computed tomography. The article is devoted to investigating methods for reconstructing a section of a pipeline to determine time intervals over which no gas inclusions in the oil flow occur. Computed tomography is based on image reconstruction methods. We made comparison between analytical reconstruction techniques: Back Projection (BP) and Filtered Back Projection (FBP) and iterative reconstruction techniques: Simultaneous Algebraic Reconstruction Technique (SART) and Simultaneous Iterative Reconstruction Technique (SIRT); the simulation was performed using Astratoolbox, an open source image reconstruction tool for tomography, and then the reconstructed images were compared using the relative root mean square error and a conclusion was achieved. The results demonstrate that the SIRT and SART method have given the closest to each other reconstructed images.

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Lotfi Zarour & Galina F. Malykhina

  2. Russian State Scientific Center for Robotics and Technical Cybernetics, St. Petersburg, Russia

    Galina F. Malykhina

Authors
  1. Lotfi Zarour
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  2. Galina F. Malykhina
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Corresponding author

Correspondence to Lotfi Zarour .

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Editors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Dmitry G. Arseniev

  2. Institute of Transport and Automation Technology, Leibniz Universität Hannover, Garbsen, Niedersachsen, Germany

    Ludger Overmeyer

  3. Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland

    Heikki Kälviäinen

  4. Institute of Production Engineering and Photonic Technologies, Vienna University of Technology, Vienna, Austria

    Branko Katalinić

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Zarour, L., Malykhina, G.F. (2020). Comparison of Analytical BP-FBP and Algebraic SART-SIRT Image Reconstruction Methods in Computed Tomography for the Oil Measurement System. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_32

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  • DOI: https://doi.org/10.1007/978-3-030-34983-7_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34982-0

  • Online ISBN: 978-3-030-34983-7

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