Effective regularized algebraic reconstruction technique for computed tomography

Journal Article · Sun Dec 15 00:00:00 EST 2013 · Crystallography Reports

DOI:https://doi.org/10.1134/S1063774513070158· OSTI ID:22311411

Nikolaev, D. P. ^[1]; Buzmakov, A. V.; Chukalina, M. V.; Asadchikov, V. E. ^[2]

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1. Russian Academy of Sciences, Kharkevich Institute for Information Transmission Problems (Russian Federation)
2. Russian Academy of Sciences, Shubnikov Institute of Crystallography (Russian Federation)

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{sup 3}) to O(n{sup 2}logn). 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.

• OSTI ID: 22311411
• Journal Information: Crystallography Reports, Vol. 58, Issue 7; Other Information: Copyright (c) 2013 Pleiades Publishing, Inc.; http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA); ISSN 1063-7745
• Country of Publication: United States
• Language: English

Related Subjects

75 CONDENSED MATTER PHYSICS
SUPERCONDUCTIVITY AND SUPERFLUIDITY
ALGORITHMS
COMPUTERIZED TOMOGRAPHY
CRYSTAL STRUCTURE
ITERATIVE METHODS
NONLINEAR PROGRAMMING