ArticleMagnetic resonance in medicine2016
Accelerated high-bandwidth MR spectroscopic imaging using compressed sensing.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Model-constrained reconstruction accelerated with Fourier-based undersampling for hyperpolarized [1-Magnetic resonance in medicine · 2023Article
- Review
- Accelerated MR spectroscopic imaging-a review of current and emerging techniques.NMR in biomedicine · 2021Review
- Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations.NMR in biomedicine · 2021Article
- Fast Imaging for Hyperpolarized MR Metabolic Imaging.Journal of magnetic resonance imaging : JMRI · 2021Review
- Acquisition strategies for spatially resolved magnetic resonance detection of hyperpolarized nuclei.Magma (New York, N.Y.) · 2020Review
- Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning.IEEE signal processing magazine · 2020Article
- Shuffled magnetization-prepared multicontrast rapid gradient-echo imaging.Magnetic resonance in medicine · 2018Article
- Assessing tissue metabolism by phosphorous-31 magnetic resonance spectroscopy and imaging: a methodology review.Quantitative imaging in medicine and surgery · 2017Review
- The use of hyperpolarized carbon-13 magnetic resonance for molecular imaging.Advanced drug delivery reviews · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
purposeTo develop a compressed sensing (CS) acceleration method with a high spectral bandwidth exploiting the spatial-spectral sparsity of MR spectroscopic imaging (MRSI).
methodsAccelerations were achieved using blip gradients during the readout to perform nonoverlapped and stochastically delayed random walks in kx -ky -t space, combined with block-Hankel matrix completion for efficient reconstruction. Both retrospective and prospective CS accelerations were applied to (13) C MRSI experiments, including in vivo rodent brain and liver studies with administrations of hyperpolarized [1-(13) C] pyruvate at 7.0 Tesla (T) and [2-(13) C] dihydroxyacetone at 3.0 T, respectively.
resultsIn retrospective undersampling experiments using in vivo 7.0 T data, the proposed method preserved spectral, spatial, and dynamic fidelities with R(2) ≥ 0.96 and ≥ 0.87 for pyruvate and lactate signals, respectively, 750-Hz spectral separation, and up to 6.6-fold accelerations. In prospective in vivo experiments, with 3.8-fold acceleration, the proposed method exhibited excellent spatial localization of metabolites and peak recovery for pyruvate and lactate at 7.0 T as well as for dihydroxyacetone and its metabolic products with a 4.5-kHz spectral span (140 ppm at 3.0 T).
conclusionsThis study demonstrated the feasibility of a new CS approach to accelerate high spectral bandwidth MRSI experiments. Magn Reson Med 76:369-379, 2016. © 2016 Wiley Periodicals, Inc.
Indexed as
Identifiers
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.