Evidence map›Paper›PMID 33955583›Full record

ArticleMagnetic resonance in medicine2021

Three-dimensional whole-brain mapping of cerebral blood volume and venous cerebral blood volume using Fourier transform-based velocity-selective pulse trains.

Wenbo Li, Dapeng Liu, Peter C M van Zijl, Qin Qin

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Ultrafast Blood TMagnetic resonance in medicine · 2026
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  13. TMagnetic resonance in medicine · 2022
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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

4 authors.

Wenbo LiThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-0199-1534
Dapeng LiuThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-4432-3202
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, Maryland, USA.
Qin QinThe Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6432-2944

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
Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI S. Ali Fatemi, Bradley L Schlaggar · 2020 to 2026
$9.9M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Non-Contrast-Enhanced Velocity-Selective MR Angiography at 3T for Cerebrovascular DiseasesR01HL138182 · NHLBI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI QIN, QIN · 2018 to 2022
$2.0M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
Velocity-Selective Arterial Spin Labeling based Perfusion Mapping for Cerebrovascular DiseasesR01HL144751 · NHLBI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI QIN, QIN · 2019 to 2022
$1.7M
MRI-based Quantitative Brain Oximetry for Sickle Cell DiseaseK25HL145129 · NHLBI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI LI, WENBO · 2019 to 2021
$457k
American Society of HematologyNHLBI NIH HHS K25 HL145129NHLBI NIH HHS R01 HL138182NHLBI NIH HHS R01 HL144751NIBIB NIH HHS P41 EB015909NIBIB NIH HHS P41 EB031771NICHD NIH HHS P50 HD103538NIH HHS K25 HL145129NIH HHS P41 EB015909NIH HHS R01 HL138182NIH HHS R01 HL144751NIH HHS S10 OD021648
6 · The paper itself

Abstract

purposeTo develop 3D MRI methods for cerebral blood volume (CBV) and venous cerebral blood volume (vCBV) estimation with whole-brain coverage using Fourier transform-based velocity-selective (FT-VS) pulse trains.

methodsFor CBV measurement, FT-VS saturation pulse trains were used to suppress static tissue, whereas CSF contamination was corrected voxel-by-voxel using a multi-readout acquisition and a fast CSF T

resultsThe mean CBV and vCBV values in gray matter and white matter in different areas of the brain showed high correlation (r = 0.95 and P < .0001). The averaged CBV and vCBV values of the whole brain were 5.4 ± 0.6 mL/100 g and 2.5 ± 0.3 mL/100 g in gray matter, and 2.6 ± 0.5 mL/100 g and 1.5 ± 0.2 mL/100 g in white matter, respectively, comparable to the literature.

conclusionThe feasibility of FT-VS-based CBV and vCBV estimation was demonstrated for 3D acquisition with large spatial coverage.

Indexed as

Brain MappingCerebral Blood VolumeBrainCerebrovascular CirculationFourier AnalysisHumansMagnetic Resonance Imagingarterial nullingcerebral blood volumeCSF suppressionvelocity-selective pulse trainvenous cerebral blood volume

Identifiers

PMID33955583
PMCPMC8527552

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Registered trials

None linked

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.