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Constrained SART algorithm for inverse problems in image reconstruction

Abstract / Introduction Related Papers Cited by
  • In this paper we integrate the SART (Simultaneous Algebraic Reconstruction Technique) algorithm into a general iterative method, introduced in [8]. This general method offers us the possibility of achieving a new convergence proof of the SART method and prove the convergence of the constrained version of SART. Systematic numerical experiments, comparing SART and Kaczmarz-like algorithms, are made on two phantoms widely used in image reconstruction literature.
    Mathematics Subject Classification: Primary: 65F10; Secondary: 65F20, 68U10.

    Citation:

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    A. Nicola, S. Petra, C. Popa and C. Schnörr, On a general extending and constraining procedure for linear iterative methods, Intern. Journal of Computer Mathematics, 89(2) (2012), 231-253.

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    X. Pan, E. Y. Sidky and M. Vannier, Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?, Inverse Problems, 25 (2009), 123009, 36 pp.doi: 10.1088/0266-5611/25/12/123009.

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    C. Popa, "Projection Algorithms, Classical Results and Developments. Applications to Image Reconstructions," Lambert Academic Publishing - AV Akademikerverlag GmbH & Co.KG,Saarbrücken, Germany, 2012.

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    C. Popa, A hybrid Kaczmarz-conjugate gradient algorithm for image reconstruction, Mathematics and Computers in Simulation, 80 (2010), 2272-2285.doi: 10.1016/j.matcom.2010.04.024.

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    C. Popa, Constrained Kaczmarz extended algorithm for image reconstruction, Linear Algebra and its Applications, 429 (2008), 2247-2267.doi: 10.1016/j.laa.2008.06.024.

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