ArticleMagnetic resonance in medicine2019
A general framework for optimizing arterial spin labeling MRI experiments.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of arterial spin labeling MRI to identify residual cerebral arteriovenous malformations after treatment.BMC medical imaging · 2025Pooled it
- Recent advances in arterial spin labeling MRI for imaging brain tumors.Magma (New York, N.Y.) · 2026Review
- Enhancing Cerebral Blood Flow Quantification: A Comprehensive Review of Denoising, Artifact Correction, and Simulation in Arterial Spin Labeling MRI.Sensors (Basel, Switzerland) · 2026Review
- On the structural and practical identifiability of multi-echo BBB-ASL tracer kinetic models.Magnetic resonance in medicine · 2026Article
- MULti-TImepoint VElocity-selective Reconciled with Spatially-sElective (MULTIVERSE) ASL: Improving robustness to both shortened and prolonged arterial transit time.Magnetic resonance in medicine · 2025Article
- Article
- Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications.Magnetic resonance in medicine · 2024Review
- The effect of post-labeling delay on cerebral blood flow is influenced by age and sex: a study based on arterial spin-labeling magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- VICTR: Venous transit time imaging by changes in TMagnetic resonance in medicine · 2024Article
- Insights into hippocampal perfusion using high-resolution, multi-modal 7T MRI.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Neurovascular coupling of striatal dopamine DNeuroscience applied · 2024Article
- Revascularization improves vascular hemodynamics - a study assessing cerebrovascular reserve and transit time in Moyamoya patients using MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Blood-brain barrier water exchange measurements using contrast-enhanced ASL.NMR in biomedicine · 2023Article
- Developments in functional imaging of the placenta.The British journal of radiology · 2023Review
- Optimization of 4D combined angiography and perfusion using radial imaging and arterial spin labeling.Magnetic resonance in medicine · 2023Article
- Time-encoded pseudo-continuous arterial spin labeling: Increasing SNR in ASL dynamic angiography.Magnetic resonance in medicine · 2023Article
- Recent advances in arterial spin labeling perfusion MRI in patients with vascular cognitive impairment.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Review
- Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI.Frontiers in physiology · 2023Article
- ASL-BIDS, the brain imaging data structure extension for arterial spin labeling.Scientific data · 2022Article
- Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposeArterial spin labeling (ASL) MRI is a non-invasive perfusion imaging technique that is inherently SNR limited, so scan protocols ideally need to be rigorously optimized to provide the most accurate measurements. A general framework is presented for optimizing ASL experiments to achieve optimal accuracy for perfusion estimates and, if required, other hemodynamic parameters, within a fixed scan time. The effectiveness of this framework is then demonstrated by optimizing the post-labeling delays (PLDs) of a multi-PLD pseudo-continuous ASL experiment and validating the improvement using simulations and in vivo data. THEORY AND
methodsA simple framework is proposed based on the use of the Cramér-Rao lower bound to find the protocol design which minimizes the predicted parameter estimation errors. Protocols were optimized for cerebral blood flow (CBF) accuracy or both CBF and arterial transit time (ATT) accuracy and compared to a conventional multi-PLD protocol, with evenly spaced PLDs, and a single-PLD protocol, using simulations and in vivo experiments in healthy volunteers.
resultsSimulations and in vivo data agreed extremely well with the predicted performance of all protocols. For the in vivo experiments, optimizing for just CBF resulted in a 48% and 15% decrease in CBF errors, relative to the reference multi-PLD and single-PLD protocols, respectively. Optimizing for both CBF and ATT reduced CBF errors by 37%, without a reduction in ATT accuracy, relative to the reference multi-PLD protocol.
conclusionThe presented framework can effectively design ASL experiments to minimize measurement errors based on the requirements of the scan.
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