On the Generation of Sampling Schemes for Magnetic Resonance Imaging
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Publication:5266399
DOI10.1137/16M1059205zbMath1439.94003MaRDI QIDQ5266399
Philippe Ciuciu, Pierre Weiss, Nicolas Chauffert, Jonas Kahn, Claire Boyer
Publication date: 2 June 2017
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Approximation with constraints (41A29) Information theory (general) (94A15) Approximation algorithms (68W25) Sampling theory in information and communication theory (94A20)
Related Items (7)
The Nyquist sampling rate for spiraling curves ⋮ Optimal Transport Approximation of 2-Dimensional Measures ⋮ Correcting the side effects of ADC filtering in MR image reconstruction ⋮ Compressed sensing with structured sparsity and structured acquisition ⋮ A projection method on measures sets ⋮ Curve based approximation of measures on manifolds by discrepancy minimization ⋮ On the Generation of Sampling Schemes for Magnetic Resonance Imaging
Uses Software
Cites Work
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- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Gradient methods for minimizing composite functions
- A projection method on measures sets
- On minimal trajectories for mobile sampling of bandlimited fields
- Mathematical problems for the next century
- Compressed sensing with structured sparsity and structured acquisition
- An Algorithm for Variable Density Sampling with Block-Constrained Acquisition
- An Analysis of Block Sampling Strategies in Compressed Sensing
- Using NFFT 3---A Software Library for Various Nonequispaced Fast Fourier Transforms
- Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds
- On the Fundamental Limits of Adaptive Sensing
- Dithering by Differences of Convex Functions
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Compressive Sensing by Random Convolution
- Stable and Robust Sampling Strategies for Compressive Imaging
- Variable Density Sampling with Continuous Trajectories
- On the Generation of Sampling Schemes for Magnetic Resonance Imaging
- A Probabilistic and RIPless Theory of Compressed Sensing
- Stable signal recovery from incomplete and inaccurate measurements
- Compressed sensing
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