ArticleMagnetic resonance in medicine2020
Accelerating GluCEST imaging using deep learning for B
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 24 papers.
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Who cites it
24 citing papers in PubMed, 36 citations in OpenAlex.
- Self-Derived Dynamic Field Map Estimation and Correction in CEST MRI.Magnetic resonance in medicine · 2026Article
- Enhanced Quantitative Phosphocreatine MR Imaging of Skeletal Muscle Using a Global-Local Two-Branch Deep Learning Model.Magnetic resonance in medicine · 2026Article
- Transformer Enabled Half Z‑spectrum Sampling BChemical & biomedical imaging · 2026Article
- A rapid and accurate guanidine CEST imaging in ischemic stroke using a machine learning approach.Physics in medicine and biology · 2026Article
- Chemical exchange saturation transfer MRI for neurodegenerative diseases: An update on clinical and preclinical studies.Neural regeneration research · 2026Article
- Measurement of Glutamate Suppression in a 6-OHDA-Induced Dopamine Deficiency Rat Model Following Acute Single-Dose L-DOPA Using GluCEST/MRS.Biomedicines · 2025Article
- Transformer-based arterial spin labeling perfusion MRI denoising.The Visual computer · 2025Article
- Motion and magnetic field inhomogeneity correction techniques for chemical exchange saturation transfer (CEST) MRI: A contemporary review.NMR in biomedicine · 2025Review
- Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI.IEEE access : practical innovations, open solutions · 2025Article
- Accelerated CEST imaging through deep learning quantification from reduced frequency offsets.Magnetic resonance in medicine · 2025Article
- Quantitative separation of CEST effect by RScientific reports · 2024Article
- Deeply Accelerated Arterial Spin Labeling Perfusion MRI for Measuring Cerebral Blood Flow and Arterial Transit Time.IEEE journal of biomedical and health informatics · 2023Article
- Deep learning-based Lorentzian fitting of water saturation shift referencing spectra in MRI.Magnetic resonance in medicine · 2023Article
- Detection of tissue pH with quantitative chemical exchange saturation transfer magnetic resonance imaging.NMR in biomedicine · 2023Review
- Accelerated and quantitative three-dimensional molecular MRI using a generative adversarial network.Magnetic resonance in medicine · 2023Article
- An end-to-end LSTM-Attention based framework for quasi-steady-state CEST prediction.Frontiers in neuroscience · 2023Article
- Deep learning for dense Z-spectra reconstruction from CEST images at sparse frequency offsets.Frontiers in neuroscience · 2023Article
- Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Review
- Review and consensus recommendations on clinical APT-weighted imaging approaches at 3T: Application to brain tumors.Magnetic resonance in medicine · 2022Review
- BTomography (Ann Arbor, Mich.) · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
purposeGlutamate weighted Chemical Exchange Saturation Transfer (GluCEST) MRI is a noninvasive technique for mapping parenchymal glutamate in the brain. Because of the sensitivity to field (B
methodsB
resultsAll DL-based methods outperformed the "traditional" method visually and quantitatively. The wide activation blocks-based method showed the highest performance in terms of Structural Similarity Index (SSIM) and peak signal-to-noise ratio (PSNR), which were 0.84 and 25dB respectively. SNR increases in regions of interest were over 8dB.
conclusionWe demonstrated that the new DL-based method can reduce the entire GluCEST imaging time by ˜50% and yield higher SNR than current state-of-the-art.
Indexed as
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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.