ArticleJournal of magnetic resonance imaging : JMRI2021
Whole-Slab 3D MR Spectroscopic Imaging of the Human Brain With Spiral-Out-In Sampling at 7T.
Article in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- A biopsy-validated study of combined DL-upscaled MRSI and (18F)-FACBC PET for presurgical glioma diagnosis.Frontiers in oncology · 2026Article
- High-Resolution Brain Metabolic Imaging at Ultrahigh Field Using Extended Spatiospectral Encoding and Subspace Modeling.IEEE transactions on bio-medical engineering · 2025Article
- 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
- Deep neural network modeling for brain tumor classification using magnetic resonance spectroscopic imaging.PLOS digital health · 2025Article
- Feasibility and comparison of 3D modified rosette ultra-short echo time (PETALUTE) with conventional weighted acquisition inScientific reports · 2025Article
- ECCENTRIC: A fast and unrestrained approach for high-resolution in vivo metabolic imaging at ultra-high field MR.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- 3D ultra-short echo timeResearch square · 2024Article
- 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
6 authors at 3 institutions in 4 countries.
Funding
Abstract
backgroundMetabolic imaging using proton magnetic resonance spectroscopic imaging (MRSI) has increased the sensitivity and spectral resolution at field strengths of ≥7T. Compared to the conventional Cartesian-based spectroscopic imaging, spiral trajectories enable faster data collection, promising the clinical translation of whole-brain MRSI. Technical considerations at 7T, however, lead to a suboptimal sampling efficiency for the spiral-out (SO) acquisitions, as a significant portion of the trajectory consists of rewinders. PURPOSE: To develop and implement a spiral-out-in (SOI) trajectory for sampling of whole-brain MRSI at 7T. We hypothesized that SOI will improve the signal-to-noise ratio (SNR) of metabolite maps due to a more efficient acquisition. STUDY TYPE: Prospective. SUBJECTS/PHANTOM: Five healthy volunteers (28-38 years, three females) and a phantom. FIELD STRENGTH/SEQUENCE: Navigated adiabatic spin-echo spiral 3D MRSI at 7T. ASSESSMENT: A 3D stack of SOI trajectories was incorporated into an adiabatic spin-echo MRSI sequence with real-time motion and shim correction. Metabolite spectral fitting, SNR, and Cramér-Rao lower bound (CRLB) were obtained. We compared the signal intensity and CRLB of three metabolites of tNAA, tCr, and tCho. Peak SNR (PSNR), structure similarity index (SSIM), and signal-to-artifact ratio were evaluated on water maps. STATISTICAL TESTS: The nonparametric Mann-Whitney U-test was used for statistical testing.
resultsCompared to SO, the SOI trajectory: 1) increased the k-space sampling efficiency by 23%; 2) is less demanding for the gradient hardware, requiring 36% lower G DATA
conclusionSOI provided more efficient MRSI at 7T compared to SO, which improved the data quality and metabolite quantification. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY STAGE: 2.
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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.