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Title: Effective regularized algebraic reconstruction technique for computed tomography

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.
Authors:
 [1] ;  [2] ; ; ;  [1]
  1. Russian Academy of Sciences, Shubnikov Institute of Crystallography (Russian Federation)
  2. Russian Academy of Sciences, Kharkevich Institute for Information Transmission Problems (Russian Federation)
Publication Date:
OSTI Identifier:
22311411
Resource Type:
Journal Article
Resource Relation:
Journal Name: Crystallography Reports; Journal Volume: 58; Journal Issue: 7; Other Information: Copyright (c) 2013 Pleiades Publishing, Inc.; http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; ALGORITHMS; COMPUTERIZED TOMOGRAPHY; CRYSTAL STRUCTURE; ITERATIVE METHODS; NONLINEAR PROGRAMMING