Evidence map›Paper›PMID 42713975›Full record

ArticleNMR in biomedicine2026

Evaluation of FatNav-Based Prospective Motion Correction for Perivascular Space Imaging With T2-Weighted MRI at 7 T.

Hengheng Wu, Bingbing Zhao, Caohui Duan, Yichen Zhou, Minqiang Jia, Yumeng Li, Xin Lou, Xiaopeng Zong

Abstract read
In one paragraph

Article in NMR in biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hengheng WuSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.ORCID https://orcid.org/0009-0001-8929-1312
Bingbing ZhaoSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.ORCID https://orcid.org/0009-0001-1638-0736
Caohui DuanDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-3470-5602
Yichen ZhouSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.ORCID https://orcid.org/0009-0000-3888-0224
Minqiang JiaSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.ORCID https://orcid.org/0009-0005-7721-1919
Yumeng LiDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xin LouDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-2980-5171
Xiaopeng ZongSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.ORCID https://orcid.org/0000-0003-4235-6948

Funding

National Natural Science Foundation of China 82327803National Natural Science Foundation of China 82441014
6 · The paper itself

Abstract

Subject motion during MRI acquisition is one of the major factors limiting image quality and diagnostic value. Previous studies have demonstrated the effectiveness of prospective motion correction (PMC) in mitigating motion-related artifacts. However, the effectiveness of PMC for the visualization of perivascular spaces (PVS) has not yet been systematically evaluated in clinical populations. PVS imaging was performed using a T2-weighted 3D turbo spin echo (TSE) sequence with fat navigator (FatNav)-based PMC. Ten healthy participants were scanned with and without PMC while performing gradual instructed motion. To further evaluate the effectiveness of PMC in a clinical setting, 62 patients were scanned after being instructed to keep their heads still. Among them, 28 patients underwent paired PMC-on and PMC-off scans, whereas 34 patients underwent PMC-on scans only. The degree of motion and its impact on overall image quality was assessed by two experienced radiologists using a 4-point Likert scale. Quantitative metrics were further evaluated including structural similarity index measure (SSIM), peak signal-to-noise ratio (PSNR), PVS count, PVS volume, and contrast-to-noise ratio (CNR) between PVS and neighboring tissue. The motion scores were significantly larger in subjects with instructed motion than in patients with involuntary motion (10.3 ± 5.3 mm vs. 1.47 ± 0.97 mm). For instructed motion, PMC significantly improved visual scores and quantitative metrics and weakened negative correlations between motion and the metrics. For involuntary motion, PMC significantly increased CNR (p < 0.001) and attenuated negative correlations between visual score and motion severity. The improvement in PVS CNR after PMC correlated strongly with motion score (

Indexed as

Adipose TissueArtifactsMagnetic Resonance ImagingMotionAdultAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsSignal-To-Noise Ratiofat navigatorperivascular spacesprospective motion correctionT2‐weighted MRI

Identifiers

PMID42713975
PMCPMC13556170

What OpenQuestion holds

Textmetadata
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.