Efficient operator splitting algorithm for joint sparsity-regularized SPIRiT-based parallel MR imaging reconstruction.

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Magnetic Resonance Imaging

• Publication date

  2018-02-01

• Fields of study

  Medicine, Mathematics, Engineering

• Identifiers
  DOI 10.1016/j.mri.2017.10.013PMID 29128678
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian ${\rm L}_{1}$-SPIRiT MR Image Reconstruction

  2014cited by this paper
• Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction

  2013cited by this paper
• Bregman Iteration Based Efficient Algorithm for MR Image Reconstruction From Undersampled K-Space Data

  2013cited by this paper
• Coil compression for accelerated imaging with Cartesian sampling

  2013cited by this paper
• Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction

  2012cited by this paper
• Fast $\ell_1$ -SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime

  2012cited by this paper
• An Augmented Lagrangian Method for Total Variation Video Restoration

  2011cited by this paper
• Efficient MR image reconstruction for compressed MR imaging

  2011cited by this paper
• Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

  2011cited by this paper
• Parallel MR Image Reconstruction Using Augmented Lagrangian Methods

  2011cited by this paper
• Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR

  2011cited by this paper
• A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data

  2010cited by this paper
• Improved pediatric MR imaging with compressed sensing.

  2010cited by this paper
• SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space

  2010cited by this paper
• Fast Image Recovery Using Variable Splitting and Constrained Optimization

  2009cited by this paper
• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

  2009cited by this paper
• Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems

  2009cited by this paper
• A nonlinear regularization strategy for GRAPPA calibration.

  2009cited by this paper
• The Split Bregman Method for L1-Regularized Problems

  2009cited by this paper
• Sparse Reconstruction by Separable Approximation

  2008cited by this paper
• On optimality of parallel MRI reconstruction in k‐space

  2008cited by this paper
• Sparse MRI: The application of compressed sensing for rapid MR imaging

  2007cited by this paper
• A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

  2007cited by this paper
• Signal Recovery by Proximal Forward-Backward Splitting

  2005cited by this paper
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

  2003cited by this paper
• Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method

  2002cited by this paper
• Generalized autocalibrating partially parallel acquisitions (GRAPPA)

  2002cited by this paper
• Advances in sensitivity encoding with arbitrary k‐space trajectories

  2001cited by this paper
• SENSE: Sensitivity encoding for fast MRI

  1999cited by this paper
• On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators

  1992cited by this paper
• The NMR phased array

  1990cited by this paper
• Two-Point Step Size Gradient Methods

  1988cited by this paper
• A method for unconstrained convex minimization problem with the rate of convergence o(1/k^2)

  1983cited by this paper

• Enhanced Feature Contrastive Self-Supervised Learning Method Based on Deep Unfolding POCS for Accelerated Parallel MRI Reconstruction

  2025cites this paper
• DSFNet: Deep Fusion Parallel MRI Reconstruction Based on SPIRiT and Complex Convolution

  2024cites this paper
• Improved Complex Convolutional Neural Network Based on SPIRiT and Dense Connection for Parallel MRI Reconstruction

  2024cites this paper
• Accelerated SPIRiT Parallel MR Image Reconstruction Based on Joint Sparsity and Sparsifying Transform Learning

  2023cites this paper
• A Physics-Based Algorithm to Universally Standardize Routinely Obtained Clinical T2-Weighted Images.

  2023cites this paper
• Non-local low-rank constraint-based self-consistent PMRI reconstruction using eigenvector maps

  2022cites this paper
• 3D FRONSAC with PSF reconstruction.

  2021cites this paper
• Iterative Self-consistent Parallel Magnetic Resonance Imaging Reconstruction based on Nonlocal Low-Rank Regularization

  2021influential citation
• Adaptive Transform Learning and Joint Sparsity Based PLORAKS Parallel Magnetic Resonance Image Reconstruction

  2020cites this paper
• Eigenvector-based SPIRiT Parallel MR Imaging Reconstruction based on ℓp pseudo-norm Joint Total Variation.

  2019cites this paper
• View's dependency and low-rank background-guided compressed sensing for multi-view image joint reconstruction

  2019cites this paper
• Optimization methods for MR image reconstruction

  2019cites this paper