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Effective regularized algebraic reconstruction technique for computed tomography

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Abstract

A new fast version of the reconstruction algorithm for computed tomography based on the simultaneous algebraic reconstruction technique (SART) is proposed. The algorithm iteration is asymptotically accelerated using the fast Hough transform from O(n 3) to O(n 2logn). Similarly to the algebraic reconstruction technique (RegART), which was proposed by us previously, the regularization operator is applied after each iteration. A bilateral filter plays the role of this operator. The algorithm behavior is investigated using the model experiment.

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Authors and Affiliations

  1. Shubnikov Institute of Crystallography, Russian Academy of Sciences, Leninskii pr. 59, Moscow, 119333, Russia

    V. E. Prun, A. V. Buzmakov, M. V. Chukalina & V. E. Asadchikov

  2. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Bol’shoi Karetnyi per. 19, Moscow, Russia

    V. E. Prun & D. P. Nikolaev

  3. Institute of Microelectronics Technology and High Purity Materials, Russian Academy of Sciences, ul. Akademika Osypiyana, Moscow oblast, 142432, Russia

    M. V. Chukalina

Authors
  1. V. E. Prun
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  2. D. P. Nikolaev
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  3. A. V. Buzmakov
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  4. M. V. Chukalina
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  5. V. E. Asadchikov
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Correspondence to V. E. Prun.

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Prun, V.E., Nikolaev, D.P., Buzmakov, A.V. et al. Effective regularized algebraic reconstruction technique for computed tomography. Crystallogr. Rep. 58, 1063–1066 (2013). https://doi.org/10.1134/S1063774513070158

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  • DOI: https://doi.org/10.1134/S1063774513070158

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