ArticleNeuroImage2015
Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction.
Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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Who cites it
24 citing papers in PubMed, 36 citations in OpenAlex.
- Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial.BMC medical imaging · 2017Trial
- Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial.BMC medical imaging · 2016Trial
- Trial
- Article
- A CSF Background Suppression Scheme in Arterial Spin Labeling MRI.NMR in biomedicine · 2026Article
- Development of an open-source 3D imaging method for forensic age estimation based on medial clavicular ossification: assessing area and volume ratios of epiphyses and metaphyses.International journal of legal medicine · 2026Article
- A straightforward approach for 3D single-shot arterial spin labeling-based brain perfusion imaging: Preventing artifacts due to signal fluctuations.Magnetic resonance in medicine · 2025Article
- Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications.Magnetic resonance in medicine · 2024Review
- Recent Technical Developments in ASL: A Review of the State of the Art.Magnetic resonance in medicine · 2022Review
- Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning.NMR in biomedicine · 2022Article
- Rotated spiral RARE for high spatial and temporal resolution volumetric arterial spin labeling acquisition.NeuroImage · 2020Article
- Non-invasive measurement of choroid plexus apparent blood flow with arterial spin labeling.Fluids and barriers of the CNS · 2020Article
- HyperpolarizedDiagnostics (Basel, Switzerland) · 2020Article
- Highly accelerated vessel-selective arterial spin labeling angiography using sparsity and smoothness constraints.Magnetic resonance in medicine · 2020Article
- Tracer kinetic models as temporal constraints during brain tumor DCE-MRI reconstruction.Medical physics · 2020Article
- MR fingerprinting ASL: Sequence characterization and comparison with dynamic susceptibility contrast (DSC) MRI.NMR in biomedicine · 2020Article
- Controlling TMagnetic resonance in medicine · 2018Article
- Advances in arterial spin labelling MRI methods for measuring perfusion and collateral flow.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Review
- Accelerated noncontrast-enhanced 4-dimensional intracranial MR angiography using golden-angle stack-of-stars trajectory and compressed sensing with magnitude subtraction.Magnetic resonance in medicine · 2018Article
- 3D-accelerated, stack-of-spirals acquisitions and reconstruction of arterial spin labeling MRI.Magnetic resonance in medicine · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Dynamic arterial spin labeling (ASL) MRI measures the perfusion bolus at multiple observation times and yields accurate estimates of cerebral blood flow in the presence of variations in arterial transit time. ASL has intrinsically low signal-to-noise ratio (SNR) and is sensitive to motion, so that extensive signal averaging is typically required, leading to long scan times for dynamic ASL. The goal of this study was to develop an accelerated dynamic ASL method with improved SNR and robustness to motion using a model-based image reconstruction that exploits the inherent sparsity of dynamic ASL data. The first component of this method is a single-shot 3D turbo spin echo spiral pulse sequence accelerated using a combination of parallel imaging and compressed sensing. This pulse sequence was then incorporated into a dynamic pseudo continuous ASL acquisition acquired at multiple observation times, and the resulting images were jointly reconstructed enforcing a model of potential perfusion time courses. Performance of the technique was verified using a numerical phantom and it was validated on normal volunteers on a 3-Tesla scanner. In simulation, a spatial sparsity constraint improved SNR and reduced estimation errors. Combined with a model-based sparsity constraint, the proposed method further improved SNR, reduced estimation error and suppressed motion artifacts. Experimentally, the proposed method resulted in significant improvements, with scan times as short as 20s per time point. These results suggest that the model-based image reconstruction enables rapid dynamic ASL with improved accuracy and robustness.
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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.