ArticleMagnetic resonance in medicine2020
Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- From Water Imaging to Tissue State Imaging: What Multiplexed MRI Adds to Quantitative MRI.Korean journal of radiology · 2026Article
- Dual association patterns between microglial activation and neuronal health in Alzheimer's disease: a whole-brain MRSI/PET study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Motion Correction in High-Resolution 3D Brain MRSI Without Water and Lipid Suppression.Magnetic resonance in medicine · 2026Article
- Parsing Neurometabolic Signatures of Multiple Sclerosis with MRSI and cPCA.medRxiv : the preprint server for health sciences · 2026Article
- Study protocol for the Champaign-Urbana population study.Frontiers in neuroimaging · 2026Article
- Iron Overload Mediates the Differential Cell Fate of Astrocytes from Neurons and Its Regulatory Mechanisms in Ischemic Stroke.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Phase Correction of MR Spectroscopic Imaging Data Using Model-Based Signal Estimation and Extrapolation.IEEE transactions on bio-medical engineering · 2026Article
- High-Resolution Brain Metabolic Imaging at Ultrahigh Field Using Extended Spatiospectral Encoding and Subspace Modeling.IEEE transactions on bio-medical engineering · 2025Article
- Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.Nature biomedical engineering · 2025Article
- High-resolution, volumetric diffusion-weighted MR spectroscopic imaging of the brain.Magnetic resonance in medicine · 2025Article
- MR Spatiospectral Reconstruction Integrating Subspace Modeling and Self-Supervised Spatiotemporal Denoising.IEEE transactions on medical imaging · 2025Article
- Associations between Aβ deposition and neurometabolic alterations in Alzheimer's disease: Insights from hybrid 3D MRSI-PET imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- 3D deuterium metabolic imaging (DMI) of the human liver at 7 T using low-rank and subspace model-based reconstruction.Magnetic resonance in medicine · 2025Article
- Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging.NeuroImage · 2025Article
- Joint learning of nonlinear representation and projection for fast constrained MRSI reconstruction.Magnetic resonance in medicine · 2025Article
- Accelerated dynamic magnetic resonance imaging from Spatial-Subspace Reconstructions (SPARS).PloS one · 2025Article
- Accelerated 3D metabolite TMagnetic resonance in medicine · 2024Article
- ECCENTRIC: A fast and unrestrained approach for high-resolution in vivo metabolic imaging at ultra-high field MR.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models.IEEE transactions on bio-medical engineering · 2024Article
- An Update on MR Spectroscopy in Cancer Management: Advances in Instrumentation, Acquisition, and Analysis.Radiology. Imaging cancer · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
purposeTo develop a subspace learning method for the recently proposed subspace-based MRSI approach known as SPICE, and achieve ultrafast THEORY AND
methodsA novel strategy is formulated to learn a low-dimensional subspace representation of MR spectra from specially acquired training data and use the learned subspace for general MRSI experiments. Specifically, the subspace learning problem is formulated as learning "empirical" distributions of molecule-specific spectral parameters (e.g., concentrations, lineshapes, and frequency shifts) by integrating physics-based model and the training data. The learned spectral parameters and quantum mechanical simulation basis can then be combined to construct acquisition-specific subspace for spatiospectral encoding and processing. High-resolution MRSI acquisitions combining ultrashort-TE/short-TR excitation, sparse sampling, and the elimination of water suppression have been performed to evaluate the feasibility of the proposed method.
resultsThe accuracy of the learned subspace and the capability of the proposed method in producing high-resolution 3D
conclusionsThe proposed method enables ultrafast
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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.