ArticleNMR in biomedicine2021
What is the optimal schedule for multiparametric MRS? A magnetic resonance fingerprinting perspective.
Article in NMR in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Prefrontal inhibitory mechanisms associated with Putamen activity during valence learning revealed by multimodal fMRI-fMRS.Communications biology · 2025Article
- Age dependency of neurometabolite TMagnetic resonance in medicine · 2025Article
- Simultaneous Concentration and TNMR in biomedicine · 2025Article
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- Metabolite TNMR in biomedicine · 2024Article
- The future is 2D: spectral-temporal fitting of dynamic MRS data provides exponential gains in precision over conventional approaches.Magnetic resonance in medicine · 2023Article
- FSL-MRS: An end-to-end spectroscopy analysis package.Magnetic resonance in medicine · 2021Article
- Quantification of creatine kinase reaction rate in mouse hindlimb using phosphorus-31 magnetic resonance spectroscopic fingerprinting.NMR in biomedicine · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Clinical magnetic resonance spectroscopy (MRS) mainly concerns itself with the quantification of metabolite concentrations. Metabolite relaxation values, which reflect the microscopic state of specific cellular and sub-cellular environments, could potentially hold additional valuable information, but are rarely acquired within clinical scan times. By varying the flip angle, repetition time and echo time in a preset way (termed a schedule), and matching the resulting signals to a pre-generated dictionary - an approach dubbed magnetic resonance fingerprinting - it is possible to encode the spins' relaxation times into the acquired signal, simultaneously quantifying multiple tissue parameters for each metabolite. Herein, we optimized the schedule to minimize the averaged root mean square error (RMSE) across all estimated parameters: concentrations, longitudinal and transverse relaxation time, and transmitter inhomogeneity. The optimal schedules were validated in phantoms and, subsequently, in a cohort of healthy volunteers, in a 4.5 mL parietal white matter single voxel and an acquisition time under 5 minutes. The average intra-subject, inter-scan coefficients of variation (CVs) for metabolite concentrations, T
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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.