Evidence map›Paper›PMID 38651650›Full record

ArticleMagnetic resonance in medicine2024

Effects of prospective motion correction on perivascular spaces at 7T MRI evaluated using motion artifact simulation.

Bingbing Zhao, Yichen Zhou, Xiaopeng Zong

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Bingbing ZhaoSchool of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, People's Republic of China.ORCID 0009-0001-1638-0736
Yichen ZhouSchool of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, People's Republic of China.
Xiaopeng ZongSchool of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, People's Republic of China.ORCID 0000-0003-4235-6948
ShanghaiTech University · CN

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
Characterizing morphological and hemodynamic characteristics of human brain perivascular spaces with aging using 7T MRIR21NS095027 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, WEILI · 2016 to 2017
$418k
NCATS NIH HHS UL1 TR002489NCATS NIH HHS UM1 TR004406NIH HHS 5R21NS095027-02NIH HHS UL1TR002489NINDS NIH HHS R21 NS095027
6 · The paper itself

Abstract

purposeThe effectiveness of prospective motion correction (PMC) is often evaluated by comparing artifacts in images acquired with and without PMC (NoPMC). However, such an approach is not applicable in clinical setting due to unavailability of NoPMC images. We aim to develop a simulation approach for demonstrating the ability of fat-navigator-based PMC in improving perivascular space (PVS) visibility in T

methodsMRI datasets from two earlier studies were used for motion artifact simulation and evaluating PMC, including T

resultsIn simulation, sharpness, PVS volume fraction, and background noise exhibited significant negative correlations with motion score. Significant correlations were found in sharpness, ringing artifact magnitude, and PVS volume fraction between simulated and real NoPMC images (p ≤ 0.006). In contrast, such correlations were reduced and nonsignificant between simulated and real PMC images (p ≥ 0.48), suggesting reduction of motion effects with PMC.

conclusionsThe proposed simulation approach is an effective tool to study the effects of motion and PMC on PVS visibility. PMC may reduce the systematic bias of PVS volume fraction caused by motion artifacts.

Indexed as

ArtifactsComputer SimulationImage Processing, Computer-AssistedMagnetic Resonance ImagingMotionAdultAlgorithmsBrainFemaleFourier AnalysisGlymphatic SystemHumansMaleMiddle AgedWhite Matterhigh‐field MRImotion artifact simulationperivascular spacesprospective motion correction

Identifiers

PMID38651650
PMCPMC11209793
OpenAlexW4395039992

What OpenQuestion holds

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Read underepoch 390

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.