Adaptive algebraic reconstruction technique.

Wenkai Lu; Fang-Fang Yin

doi:10.1118/1.1812606

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PubMed · 15651606

Adaptive algebraic reconstruction technique.

Wenkai Lu·Fang-Fang Yin

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Abstract

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.

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Algorithms Artificial Intelligence Computer Simulation Feedback Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Information Storage and Retrieval Models, Biological Phantoms, Imaging Reproducibility of Results Sensitivity and Specificity Tomography, X-Ray Computed Evaluation Study Journal Article

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Wenkai Lu, Fang-Fang Yin. 2004. Adaptive algebraic reconstruction technique.. https://doi.org/10.1118/1.1812606

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