Combined similarity to reference image with joint sparsifying transform for longitudinal compressive sensing MRI

DOI10.1155/2016/4162194zbMath1400.94023OpenAlexW2521729509WikidataQ59131263 ScholiaQ59131263MaRDI QIDQ1793133

Ruirui Kang, Bin Cao, Long Yan, Gang-rong Qu

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/4162194

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Compressed sensing MRI reconstruction with multiple sparsity constraints on radial sampling

Uses Software

• RecPF

Cites Work

• A New Detail-Preserving Regularization Scheme
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Smoothing and Decomposition for Analysis Sparse Recovery
• Generalized Higher Degree Total Variation (HDTV) Regularization
• Iterative thresholding compressed sensing MRI based on contourlet transform
• Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds
• Compressed sensing

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