Adaptive algebraic reconstruction technique.
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.
Duke Scholars
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Related Subject Headings
- Tomography, X-Ray Computed
- Sensitivity and Specificity
- Reproducibility of Results
- Phantoms, Imaging
- Nuclear Medicine & Medical Imaging
- Models, Biological
- Information Storage and Retrieval
- Imaging, Three-Dimensional
- Image Interpretation, Computer-Assisted
- Image Enhancement
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Tomography, X-Ray Computed
- Sensitivity and Specificity
- Reproducibility of Results
- Phantoms, Imaging
- Nuclear Medicine & Medical Imaging
- Models, Biological
- Information Storage and Retrieval
- Imaging, Three-Dimensional
- Image Interpretation, Computer-Assisted
- Image Enhancement