ArticleIEEE signal processing magazine2020
Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms.
Article in IEEE signal processing magazine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed, 181 citations in OpenAlex.
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- Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction.IEEE transactions on medical imaging · 2026Article
- Online Spatiotemporally Constrained Reconstruction for Real-Time Interactive MRI.Magnetic resonance in medicine · 2026Article
- REVISITING MRI RECONSTRUCTION USING A COMBINATION OF COMPLEX AND MAGNITUDE MEASUREMENTS WITH LEARNED PRIORS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026Article
- A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers.IEEE transactions on computational imaging · 2026Article
- Self-supervised learning for MRI reconstruction: a review and new perspective.Magma (New York, N.Y.) · 2025Review
- Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining.ArXiv · 2025Article
- SPARSITY-DRIVEN PARALLEL IMAGING CONSISTENCY FOR IMPROVED SELF-SUPERVISED MRI RECONSTRUCTION.Proceedings. International Conference on Image Processing · 2025Article
- Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study.International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud · 2025Article
- Report on the quantitative intra-voxel incoherent motion diffusion MRI reconstruction grand challenge.Medical physics · 2025Article
- CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping.Journal of mathematical imaging and vision · 2025Article
- Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction.Magma (New York, N.Y.) · 2025Article
- Accelerating multi-coil MR image reconstruction using weak supervision.Magma (New York, N.Y.) · 2025Article
- AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery.Journal of imaging informatics in medicine · 2025Article
- Time-Embedded Algorithm Unrolling for Computational MRI.Advances in neural information processing systems · 2025Article
- Spherical echo-planar time-resolved imaging (sEPTI) for rapid 3D quantitativeMagnetic resonance in medicine · 2025Article
- Limited-Angle Tomography Using a Neural Network as the Objective Function.International journal of biomedical research & practice · 2025Article
- Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction.IEEE transactions on computational imaging · 2025Article
- Advancements in Intelligent Sensing Technologies for Food Safety Detection.Research (Washington, D.C.) · 2025Review
- Manifold Regularizer for High-Resolution fMRI Joint Reconstruction and Dynamic Quantification.IEEE transactions on medical imaging · 2024Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
The development of compressed sensing methods for magnetic resonance (MR) image reconstruction led to an explosion of research on models and optimization algorithms for MR imaging (MRI). Roughly 10 years after such methods first appeared in the MRI literature, the U.S. Food and Drug Administration (FDA) approved certain compressed sensing methods for commercial use, making compressed sensing a clinical success story for MRI. This review paper summarizes several key models and optimization algorithms for MR image reconstruction, including both the type of methods that have FDA approval for clinical use, as well as more recent methods being considered in the research community that use data-adaptive regularizers. Many algorithms have been devised that exploit the structure of the system model and regularizers used in MRI; this paper strives to collect such algorithms in a single survey.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.