Superiorization-based multi-energy CT image reconstruction

DOI10.1088/1361-6420/aa5e0azbMath1367.65033OpenAlexW2594261170WikidataQ42284714 ScholiaQ42284714MaRDI QIDQ5346634

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Publication date: 26 May 2017

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5625635

zbMATH Keywords

iterative algorithmsuperiorizationsplit-Bregmansimultaneous algebraic reconstruction techniquecomputer-tomography image reconstructionrank intensity and sparsity modelx-ray spectral CT

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Joint reconstruction in low dose multi-energy CT ⋮ XCT image reconstruction by a modified superiorized iteration and theoretical analysis

Cites Work

• A first-order primal-dual algorithm for convex problems with applications to imaging
• Projected subgradient minimization versus superiorization
• Superiorization of EM algorithm and its application in single-photon emission computed tomography (SPECT)
• Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM)
• The Split Bregman Method for L1-Regularized Problems
• Perturbation‐resilient block‐iterative projection methods with application to image reconstruction from projections
• Perturbation resilience and superiorization of iterative algorithms
• Total Nuclear Variation and Jacobian Extensions of Total Variation for Vector Fields

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