Evidence map›Paper›PMID 28194821›Full record

ReviewJournal of magnetic resonance imaging : JMRI2017

Image formation in diffusion MRI: A review of recent technical developments.

Wenchuan Wu, Karla L Miller

Abstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Diffusion MRI of the Body: Beyond PGSE-EPI.Journal of magnetic resonance imaging : JMRI · 2026
    Review
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11 more citing papers are in PubMed but not listed here.

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

2 authors.

Wenchuan WuFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Karla L MillerFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Funding

Wellcome Trust 202788/Z/16/Z
6 · The paper itself

Abstract

Diffusion magnetic resonance imaging (MRI) is a standard imaging tool in clinical neurology, and is becoming increasingly important for neuroscience studies due to its ability to depict complex neuroanatomy (eg, white matter connectivity). Single-shot echo-planar imaging is currently the predominant formation method for diffusion MRI, but suffers from blurring, distortion, and low spatial resolution. A number of methods have been proposed to address these limitations and improve diffusion MRI acquisition. Here, the recent technical developments for image formation in diffusion MRI are reviewed. We discuss three areas of advance in diffusion MRI: improving image fidelity, accelerating acquisition, and increasing the signal-to-noise ratio. LEVEL OF EVIDENCE: 5 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:646-662.

Indexed as

Diffusion Magnetic Resonance ImagingHumansImage EnhancementImage Processing, Computer-AssistedSignal-To-Noise Ratioaccelerated imagingdiffusion MRIhigh-resolution imagingimage artifactsnavigationpulse sequence

Identifiers

PMID28194821
PMCPMC5574024

What OpenQuestion holds

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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.