ArticleNMR in biomedicine2019
Evaluating the feasibility of creatine-weighted CEST MRI in human brain at 7 T using a Z-spectral fitting approach.
Article in NMR in biomedicine, 2019. 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.
- Multi-Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration.Magnetic resonance in medicine · 2026Article
- CEST MRI assessment of HIV-1-associated neurometabolic impairments in a humanized mouse model.NeuroImmune pharmacology and therapeutics · 2025Article
- Chemical hydrodynamics of nuclear spin states.Science advances · 2025Article
- Double-Step R1rho-Based Lorentzian Fitting (DROF): A New CEST Analysis Approach and Its Comparison With Existing Methods.NMR in biomedicine · 2025Article
- Brain temperature mapping based on chemical exchange saturation transfer signal at 2 ppm.Quantitative imaging in medicine and surgery · 2025Article
- Improving standardization and accuracy of in vivo omega plot exchange parameter determination using rotating-frame model-based fitting of quasi-steady-state Z-spectra.Magnetic resonance in medicine · 2025Article
- Non-invasive mapping of brown adipose tissue activity with magnetic resonance imaging.Nature metabolism · 2024Article
- Analytical solution of the Bloch-McConnell equations for steady-state CEST Z-spectra.Magnetic resonance imaging · 2024Article
- Nuclear Overhauser enhancement imaging at -1.6 ppm in rat brain at 4.7T.Magnetic resonance in medicine · 2024Article
- Creatine mapping of the brain at 3T by CEST MRI.Magnetic resonance in medicine · 2024Article
- Article
- The exchange rate of creatine CEST in mouse brain.Magnetic resonance in medicine · 2023Article
- Hierarchical K-means clustering method for accelerated Lorentzian estimation (KALE) in chemical exchange saturation transfer-magnetic resonance imaging quantification.Quantitative imaging in medicine and surgery · 2023Article
- TowardBiosensors · 2022Review
- Lorentzian-Corrected Apparent Exchange-Dependent Relaxation (LAREX) Ω-Plot Analysis-An Adaptation for qCEST in a Multi-Pool System: Comprehensive In Silico, In Situ, and In Vivo Studies.International journal of molecular sciences · 2022Article
- Evaluating the Cisplatin Dose Dependence of Testicular Dysfunction Using Creatine Chemical Exchange Saturation Transfer Imaging.Diagnostics (Basel, Switzerland) · 2022Article
- The use of variable delay multipulse chemical exchange saturation transfer for separately assessing different CEST pools in the human brain at 7T.Magnetic resonance in medicine · 2022Article
- Relaxation-Compensated Chemical Exchange Saturation Transfer MRI in the Brain at 7T: Application in Relapsing-Remitting Multiple Sclerosis.Frontiers in neurology · 2022Article
- Contribution of blood to nuclear Overhauser effect at -1.6 ppm.Magnetic resonance in medicine · 2022Article
- Emerging MR Imaging and Spectroscopic Methods to Study Brain Tumor Metabolism.Frontiers in neurology · 2022Review
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7 authors.
Funding
Abstract
The current study aims to evaluate the feasibility of creatine (Cr) chemical exchange saturation transfer (CEST)-weighted MRI at 7 T in the human brain by optimizing the saturation pulse parameters and computing contrast using a Z-spectral fitting approach. The Cr-weighted (Cr-w) CEST contrast was computed from phantoms data. Simulations were carried out to obtain the optimum saturation parameters for Cr-w CEST with lower contribution from other brain metabolites. CEST-w images were acquired from the brains of four human subjects at different saturation parameters. The Cr-w CEST contrast was computed using both asymmetry analysis and Z-spectra fitting approaches (models 1 and 2, respectively) based on Lorentzian functions. For broad magnetization transfer (MT) effect, Gaussian and Super-Lorentzian line shapes were also evaluated. In the phantom study, the Cr-w CEST contrast showed a linear dependence on concentration in physiological range and a nonlinear dependence on saturation parameters. The in vivo Cr-w CEST map generated using asymmetry analysis from the brain represents mixed contrast with contribution from other metabolites as well and relayed nuclear Overhauser effect (rNOE). Simulations provided an estimate for the optimum range of saturation parameters to be used for acquiring brain CEST data. The optimum saturation parameters for Cr-w CEST to be used for brain data were around B
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