Iterative thresholding compressed sensing MRI based on contourlet transform

DOI10.1080/17415977.2010.492509zbMath1196.92025OpenAlexW1983793191WikidataQ58022884 ScholiaQ58022884MaRDI QIDQ4931853

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Publication date: 1 October 2010

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2010.492509

zbMATH Keywords

sparsitycompressed sensingMRIdata acquisitiongeometric image transform

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Biomedical imaging and signal processing (92C55) Inverse theorems in approximation theory (41A27) Computational methods for problems pertaining to biology (92-08)

Related Items (3)

Block-sparse compressed sensing: non-convex model and iterative re-weighted algorithm ⋮ Combined similarity to reference image with joint sparsifying transform for longitudinal compressive sensing MRI ⋮ Compressed sensing MRI reconstruction with multiple sparsity constraints on radial sampling

Cites Work

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• Atomic Decomposition by Basis Pursuit
• New tight frames of curvelets and optimal representations of objects with piecewise C² singularities
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
• Data compression and harmonic analysis
• Image restoration using L₁ norm penalty function
• Compressed sensing

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