Estimation of perfusion properties with MR fingerprinting arterial spin labeling
Open accessAbstract
In this study, the acquisition of ASL data and quantification of multiple hemodynamic parameters was explored using a Magnetic Resonance Fingerprinting (MRF) approach. A pseudo-continuous ASL labeling scheme was used with pseudo-randomized timings to acquire the MRF ASL data in a 2.5 min acquisition. A large dictionary of MRF ASL signals was generated by combining a wide range of physical and hemodynamic properties with the pseudo-random MRF ASL sequence and a two-compartment model. The acquired signals were matched to the dictionary to provide simultaneous quantification of cerebral blood flow, tissue time-to-peak, cerebral blood volume, arterial time-to-peak, B 1, and T 1. A study in seven healthy volunteers resulted in the following values across the population in grey matter (mean ± standard deviation): cerebral blood flow of 69.1 ± 6.1 ml/min/100 g, arterial time-to-peak of 1.5 ± 0.1 s, tissue time-to-peak of 1.5 ± 0.1 s, T 1 of 1634 ms, cerebral blood volume of 0.0048 ± 0.0005. The CBF measurements were compared to standard pCASL CBF estimates using a one-compartment model, and a Bland-Altman analysis showed good agreement with a minor bias. Repeatability was tested in five volunteers in the same exam session, and no statistical difference was seen. In addition to this validation, the MRF ASL acquisition's sensitivity to the physical and physiological parameters of interest was studied numerically.
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- Authors
- Wright, K. L., Jiang, Y., Ma, D., Noll, D. C., Griswold, M. A., Gulani, V., & Hernandez-Garcia, L.
- Affiliations
- University Hospitals of Cleveland (US)
- University of Michigan (US)
- Corresponding author
- Wright, Katherine L.
- Venue
- Magnetic Resonance Imaging
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 50
- Pages
- 68-77
- ISSN
- 0730-725X (ISSN-L)
- PMC
- PMC5970985
- OpenAlex
- W2790284847
- Cited by
- 51
- References
- 40
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 6 · 2021: 5 · 2020: 11 · 2019: 9 · 2018: 4
- FWCI
- 5.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Magnetic Resonance Imaging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R21EB021562, R01EB016728)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- MR fingerprinting, arterial spin labeling, cerebral blood flow, cerebral blood volume, time to peak, T1 mapping, B1 mapping, two-compartment model, repeatability
- MeSH terms
- Adult, Cerebrovascular Circulation, Female, Humans, Male, Reference Values, Spin Labels, Magnetic Resonance Angiography, Young Adult, Gray Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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