Evidence map›Paper›PMID 40326537›Full record

ArticleMagnetic resonance in medicine2025

Navigator-free multi-shot diffusion MRI via non-local low-rank reconstruction.

Yiming Dong, Xinyu Ye, Chang Li, Matthias J P van Osch, Peter Börnert

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Article in Magnetic resonance in medicine, 2025. 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
–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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yiming DongC.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-8580-4555
Xinyu YeWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Chang LiDivision of Image Processing, Department of Radiology, LUMC, Leiden, The Netherlands.
Matthias J P van OschC.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-7034-8959
Peter BörnertC.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, The Netherlands.

Funding

Health˜Holland
6 · The paper itself

Abstract

purposeTo develop a non-local low-rank (NLLR) reconstruction method for multi-shot EPI (ms-EPI) in DWI, addressing phase inconsistencies and noise issues while maintaining high spatial resolution in clinically feasible scan times. THEORY AND

methodsSingle-shot EPI (ss-EPI) is widely used for DWI but suffers from geometric distortions and T

resultsIn simulation experiments, compared to post-processing denoising algorithms, NLLR demonstrated superior noise suppression and structural preservation across all metrics, even when reconstructing from a single diffusion direction. In the in-vivo experiments, NLLR outperformed conventional navigator-free approaches particularly regarding noise suppression. Fractional anisotropy maps reconstructed using NLLR exhibited improved visualization of fine structures with improved SNR, with performance differences becoming more pronounced at higher resolutions.

conclusionThe proposed NLLR approach provides an efficient and good solution for high-resolution DWI reconstruction, improving image quality while mitigating phase variations and noise.

Indexed as

BrainDiffusion Magnetic Resonance ImagingEcho-Planar ImagingImage Processing, Computer-AssistedAlgorithmsArtifactsComputer SimulationHumansPhantoms, ImagingSignal-To-Noise Ratiodiffusionlow‐rankmulti‐shot EPInon‐local reconstruction

Identifiers

PMID40326537
PMCPMC12309880

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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.