ArticleMagnetic resonance in medicine2018
Low rank alternating direction method of multipliers reconstruction for MR fingerprinting.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.
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107 citing papers in PubMed.
- Self-calibrated BMagnetic resonance in medicine · 2026Article
- Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding.Magnetic resonance in medicine · 2026Article
- Simultaneous T1, T2, R2*, PDFF, and triglyceride quantification in the head and neck using magnetic resonance fingerprinting on a 1.5T MR-Linac.Medical physics · 2026Article
- Machine learning assisted prediction of cartilage histology using MR fingerprinting - a preliminary study.Magma (New York, N.Y.) · 2026Article
- Dynamic breast MRI with Flexible Temporal Resolution Aided by Deep Learning.Nature communications · 2026Article
- Semi-supervision for clinical contrast-weighted image synthesis from magnetic resonance fingerprinting.Magma (New York, N.Y.) · 2026Article
- Contrast-optimized basis functions for self-navigated motion correction in quantitative MRI.Magnetic resonance in medicine · 2026Article
- Simultaneous liver TMagnetic resonance in medicine · 2025Article
- 3D multi-phase balanced non-steady-state free precession acquisition for multi-parameter mapping.Magma (New York, N.Y.) · 2025Article
- Simultaneous TMagnetic resonance in medicine · 2025Article
- Repeatability-encouraging self-supervised learning reconstruction for quantitative MRI.Magnetic resonance in medicine · 2025Article
- Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI.Magnetic resonance in medicine · 2025Article
- Distortion-free steady-state diffusion-weighted imaging with magnetic resonance fingerprinting.Medical physics · 2025Article
- Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction.Magma (New York, N.Y.) · 2025Article
- Fast whole brain relaxometry with Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) at 3 T: a retrospective cohort study.Magma (New York, N.Y.) · 2025Article
- SuperMRF: deep robust reconstruction for highly accelerated magnetic resonance fingerprinting.Quantitative imaging in medicine and surgery · 2025Article
- Cramér-Rao Bound Optimized Subspace Reconstruction in Quantitative MRI.IEEE transactions on bio-medical engineering · 2025Article
- Cardiac MR Fingerprinting: Overview, Technical Developments, and Applications.Journal of magnetic resonance imaging : JMRI · 2024Review
- Efficient pulse sequence design framework for high-dimensional MR fingerprinting scans using systematic error index.Magnetic resonance in medicine · 2024Article
- Bias-reduced neural networks for parameter estimation in quantitative MRI.Magnetic resonance in medicine · 2024Article
47 more citing papers are in PubMed but not listed here.
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6 authors.
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Abstract
purposeThe proposed reconstruction framework addresses the reconstruction accuracy, noise propagation and computation time for magnetic resonance fingerprinting.
methodsBased on a singular value decomposition of the signal evolution, magnetic resonance fingerprinting is formulated as a low rank (LR) inverse problem in which one image is reconstructed for each singular value under consideration. This LR approximation of the signal evolution reduces the computational burden by reducing the number of Fourier transformations. Also, the LR approximation improves the conditioning of the problem, which is further improved by extending the LR inverse problem to an augmented Lagrangian that is solved by the alternating direction method of multipliers. The root mean square error and the noise propagation are analyzed in simulations. For verification, in vivo examples are provided.
resultsThe proposed LR alternating direction method of multipliers approach shows a reduced root mean square error compared to the original fingerprinting reconstruction, to a LR approximation alone and to an alternating direction method of multipliers approach without a LR approximation. Incorporating sensitivity encoding allows for further artifact reduction.
conclusionThe proposed reconstruction provides robust convergence, reduced computational burden and improved image quality compared to other magnetic resonance fingerprinting reconstruction approaches evaluated in this study. Magn Reson Med 79:83-96, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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