Adaptive algebraic reconstruction technique.

Published

Journal Article

Algebraic reconstruction techniques (ART) are iterative procedures for reconstructing objects from their projections. It is proven that ART can be computationally efficient by carefully arranging the order in which the collected data are accessed during the reconstruction procedure and adaptively adjusting the relaxation parameters. In this paper, an adaptive algebraic reconstruction technique (AART), which adopts the same projection access scheme in multilevel scheme algebraic reconstruction technique (MLS-ART), is proposed. By introducing adaptive adjustment of the relaxation parameters during the reconstruction procedure, one-iteration AART can produce reconstructions with better quality, in comparison with one-iteration MLS-ART. Furthermore, AART outperforms MLS-ART with improved computational efficiency.

Full Text

Duke Authors

Cited Authors

  • Lu, W; Yin, F-F

Published Date

  • December 2004

Published In

Volume / Issue

  • 31 / 12

Start / End Page

  • 3222 - 3230

PubMed ID

  • 15651606

Pubmed Central ID

  • 15651606

International Standard Serial Number (ISSN)

  • 0094-2405

Digital Object Identifier (DOI)

  • 10.1118/1.1812606

Language

  • eng

Conference Location

  • United States