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