The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Reduced Transit-Time Sensitivity in Noninvasive Magnetic Resonance Imaging of Human Cerebral Blood Flow
Open accessAbstract
Herein, we present a theoretical framework and experimental methods to more accurately account for transit effects in quantitative human perfusion imaging using endogenous magnetic resonance imaging (MRI) contrast. The theoretical transit time sensitivities of both continuous and pulsed inversion spin tagging experiments are demonstrated. We propose introducing a delay following continuous labeling, and demonstrate theoretically that introduction of a delay dramatically reduces the transit time sensitivity of perfusion imaging. The effects of magnetization transfer saturation on this modified continuous labeling experiment are also derived, and the assumption that the perfusion signal resides entirely within tissue rather than the arterial microvasculature is examined. We present results demonstrating the implementation of the continuous tagging experiment with delay on an echoplanar scanner for measuring cerebral blood flow (CBF) in normal volunteers. By varying the delay, we estimate transit times in the arterial system, values that are necessary for assessing the accuracy of our quantification. The effect of uncertainties in the transit time from the tagging plane to the arterial microvasculature and the transit time to the tissue itself on the accuracy of perfusion quantification is discussed and found to be small in gray matter but still potentially significant in white matter. A novel method for measuring T 1, which is fast, insensitive to contamination by cerebrospinal fluid, and compatible with the application of magnetization transfer saturation, is also presented. The methods are combined to produce quantitative maps of resting and hypercarbic CBF.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regional cerebral blood flow and oxygen consumption in human aging
Pantano, P., Baron, J. C., Lebrun-Grandié, P., Duquesnoy, N., Bousser, M. G., & Comar, D. (1984) · Stroke · doi:10.1161/01.str.15.4.635 · Cited by 341
Cited by
Methodology of brain perfusion imaging
Barbier, E. L., Lamalle, L., & Décorps, M. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1073 · Cited by 404
Experimental design and the relative sensitivity of BOLD and perfusion fMRI
Aguirre, G. K., Detre, J. A., Zarahn, E., & Alsop, D. C. (2002) · NeuroImage · doi:10.1006/nimg.2001.0990 · Cited by 403
Self-citationAsllani, I., Habeck, C., Scarmeas, N., Borogovac, A., Brown, T. R., & Stern, Y. (2008) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600570 · Cited by 172
Wolk (2012) · doi:10.1097/wco.0b013e328354ff0a · Cited by 147
Effects of dietary glycemic index on brain regions related to reward and craving in men
Lennerz, B. S., Alsop, D. C., Holsen, L. M., Stern, E., Rojas, R., Ebbeling, C. B., Goldstein, J. M., & Ludwig, D. S. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.064113 · Cited by 140
Self-citation
Metadata
- Authors
- Alsop, D. C., & Detre, J. A.
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 1996-11
- Volume
- 16
- Issue
- 6
- Pages
- 1236-1249
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- OpenAlex
- W2024824783
- Cited by
- 754
- References
- 1
- FWCI
- 15.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.