ArticleNMR in biomedicine2021
Inter-subject stability and regional concentration estimates of 3D-FID-MRSI in the human brain at 7 T.
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 13 papers.
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13 citing papers in PubMed, 23 citations in OpenAlex.
- From equilibrium to dynamic metabolic imaging: the evolving role of magnetic resonance spectroscopic imaging in neurodegenerative disorders.Journal of translational medicine · 2026Review
- Preoperative prediction of 5-ALA fluorescence in gliomas: comparison of 7-Tesla magnetic resonance spectroscopic imaging, contrast-enhancement on MRI, and positron emission tomography.European radiology · 2026Article
- From a Voxel to Maps: A Comparative Study of sLASER SVS and 3D-CRT-FID-MRSI at 3 T and 7 T.medRxiv : the preprint server for health sciences · 2025Article
- Glutamine Metabolism and Metabolic Profiling Using 7 T CRT-FID MRSI in Focal Epilepsy.European journal of neurology · 2025Article
- High-Resolution Mapping of Tumor and Peritumoral Glutamate and Glutamine in Gliomas Using 7-T MRSI.Radiology. Imaging cancer · 2025Article
- Accelerated 3D metabolite TMagnetic resonance in medicine · 2024Article
- 7 Tesla magnetic resonance spectroscopic imaging predicting IDH status and glioma grading.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- A Comparison of 7 Tesla MR Spectroscopic Imaging and 3 Tesla MR Fingerprinting for Tumor Localization in Glioma Patients.Cancers · 2024Article
- Hyperpolarized [2-NeuroImage · 2023Article
- Article
- Semi-automated Segmentation and Quantification of Perivascular Spaces at 7 Tesla in COVID-19.Frontiers in neurology · 2022Article
- Inter-subject stability and regional concentration estimates of 3D-FID-MRSI in the human brain at 7 T.NMR in biomedicine · 2021Article
- High-resolution whole-brain magnetic resonance spectroscopic imaging in youth at risk for psychosis.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
Abstract
purposeRecently, a 3D-concentric ring trajectory (CRT)-based free induction decay (FID)-MRSI sequence was introduced for fast high-resolution metabolic imaging at 7 T. This technique provides metabolic ratio maps of almost the entire brain within clinically feasible scan times, but its robustness has not yet been thoroughly investigated. Therefore, we have assessed quantitative concentration estimates and their variability in healthy volunteers using this approach.
methodsWe acquired whole-brain 3D-CRT-FID-MRSI at 7 T in 15 min with 3.4 mm nominal isometric resolution in 24 volunteers (12 male, 12 female, mean age 27 ± 6 years). Concentration estimate maps were calculated for 15 metabolites using internal water referencing and evaluated in 55 different regions of interest (ROIs) in the brain. Data quality, mean metabolite concentrations, and their inter-subject coefficients of variation (CVs) were compared for all ROIs.
resultsOf 24 datasets, one was excluded due to motion artifacts. The concentrations of total choline, total creatine, glutamate, myo-inositol, and N-acetylaspartate in 44 regions were estimated within quality thresholds. Inter-subject CVs (mean over 44 ROIs/minimum/maximum) were 9%/5%/19% for total choline, 10%/6%/20% for total creatine, 11%/7%/24% for glutamate, 10%/6%/19% for myo-inositol, and 9%/6%/19% for N-acetylaspartate. DISCUSSION: We defined the performance of 3D-CRT-based FID-MRSI for metabolite concentration estimate mapping, showing which metabolites could be robustly quantified in which ROIs with which inter-subject CVs expected. However, the basal brain regions and lesser-signal metabolites in particular remain as a challenge due susceptibility effects from the proximity to nasal and auditory cavities. Further improvement in quantification and the mitigation of B
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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.