Evidence map›Paper›PMID 27797101›Full record

ArticleMagnetic resonance in medicine2017

Quantitative measurement of cerebral blood volume using velocity-selective pulse trains.

Dexiang Liu, Feng Xu, Doris D Lin, Peter C M van Zijl, Qin Qin

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 30 citations in OpenAlex.

  1. Ultrafast Blood TMagnetic resonance in medicine · 2026
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  10. Review
  11. TMagnetic resonance in medicine · 2022
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  15. Article
  16. Article
  17. Ensuring both velocity and spatial responses robust toMagnetic resonance in medicine · 2021
    Article
  18. TFrontiers in neuroscience · 2021
    Article
  19. Review
  20. Venous contribution to sodium MRI in the human brain.Magnetic resonance in medicine · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Dexiang Liu *Department of Radiology, Panyu District Central Hospital, Guangzhou, Guangdong Province, China.
Feng Xu *The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Doris D LinThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Peter C M van ZijlThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Qin QinThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USKennedy Krieger Institute · US

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
MRI-based Quantitative Brain Perfusion Mapping for Sickle Cell DiseaseK25HL121192 · NHLBI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI QIN, QIN · 2014 to 2018
$822k
NHLBI NIH HHS K25 HL121192NIBIB NIH HHS P41 EB015909
6 · The paper itself

Abstract

purposeTo develop a non-contrast-enhanced MRI method for cerebral blood volume (CBV) mapping using velocity-selective (VS) pulse trains.

methodsThe new pulse sequence applied velocity-sensitive gradient waveforms in the VS label modules and velocity-compensated ones in the control scans. Sensitivities to the gradient imperfections (e.g., eddy currents) were evaluated through phantom studies. CBV quantification procedures based on simulated labeling efficiencies for arteriolar, capillary, and venular blood as a function of cutoff velocity (Vc) are presented. Experiments were conducted on healthy volunteers at 3T to examine the effects of unbalanced diffusion weighting, cerebrospinal (CSF) contamination and variation of Vc.

resultsPhantom results of the used VS pulse trains demonstrated robustness to eddy currents. The mean CBV values of gray matter and white matter for the experiments using Vc = 3.5 mm/s and velocity-compensated control with CSF-nulling were 5.1 ± 0.6 mL/100 g and 2.4 ± 0.2 mL/100 g, respectively, which were 23% and 32% lower than results from the experiment with velocity-insensitive control, corresponding to 29% and 25% lower in averaged temporal signal-to-noise ratio values.

conclusionA novel technique using VS pulse trains was demonstrated for CBV mapping. The results were both qualitatively and quantitatively close to those from existing methods. Magn Reson Med 77:92-101, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

AdultBrainCerebral Blood VolumeFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance AngiographyMalePhantoms, ImagingSignal-To-Noise RatioYoung Adultarterial spin labelingcerebral blood volumeeddy currentvelocity-selective pulse train

Identifiers

PMID27797101
PMCPMC5191941
OpenAlexW2543305489

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Registered trials

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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.