Evidence map›Paper›PMID 29966941›Full record

ArticleMedical image analysis2018

Slice-level diffusion encoding for motion and distortion correction.

Jana Hutter, Daan J Christiaens, Torben Schneider, Lucilio Cordero-Grande, Paddy J Slator, Maria Deprez, Anthony N Price, J-Donald Tournier, Mary Rutherford, Joseph V Hajnal

Abstract read
In one paragraph

Article in Medical image analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction.Perinatal, preterm and paediatric image analysis : 9th international workshop, PIPPI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, proceedings · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Simultaneous Motion and Distortion Correction Using Dual-Echo Diffusion-Weighted MRI.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Article
  18. Review
  19. Fetal Echoplanar Imaging: Promises and Challenges.Topics in magnetic resonance imaging : TMRI · 2019
    Review
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

10 authors.

Jana HutterCentre for the developing Brain, King's College London, London, UK. Electronic address: jana.hutter@kcl.ac.uk.
Daan J ChristiaensCentre for the developing Brain, King's College London, London, UK.
Torben SchneiderPhilips, Guildford, UK.
Lucilio Cordero-GrandeCentre for the developing Brain, King's College London, London, UK.
Paddy J SlatorCentre for Medical Image Computing and Department of Computer Science, University College London, London, UK.
Maria DeprezCentre for the developing Brain, King's College London, London, UK.
Anthony N PriceCentre for the developing Brain, King's College London, London, UK.
J-Donald TournierCentre for the developing Brain, King's College London, London, UK.
Mary RutherfordCentre for the developing Brain, King's College London, London, UK.
Joseph V HajnalCentre for the developing Brain, King's College London, London, UK.

Funding

Structure and function of the placenta from implantation to delivery: a next generation MRI approachU01HD087202 · NICHD · KING'S COLLEGE LONDON · PI ALEXANDER, DANIEL, ALJABAR, PAUL · 2015 to 2015
$3.2M
Department of HealthEuropean Research Council 319456Medical Research Council MR/K006355/1NICHD NIH HHS U01 HD087202Wellcome Trust 201374/Z/16/ZWellcome Trust 203148/Z/16/Z
6 · The paper itself

Abstract

Advances in microstructural modelling are leading to growing requirements on diffusion MRI acquisitions, namely sensitivity to smaller structures and better resolution of the geometric orientations. The resulting acquisitions contain highly attenuated images that present particular challenges when there is motion and geometric distortion. This study proposes to address these challenges by breaking with the conventional one-volume-one-encoding paradigm employed in conventional diffusion imaging using single-shot Echo Planar Imaging. By enabling free choice of the diffusion encoding on the slice level, a higher temporal sampling of slices with low b-value can be achieved. These allow more robust motion correction, and in combination with a second reversed phase-encoded echo, also dynamic distortion correction. These proposed advances are validated on phantom and adult experiments and employed in a study of eight foetal subjects. Equivalence in obtained diffusion quantities with the conventional method is demonstrated as well as benefits in distortion and motion correction. The resulting capability can be combined with any acquisition parameters including multiband imaging and allows application to diffusion MRI studies in general.

Indexed as

AdultArtifactsBrain MappingDiffusion Magnetic Resonance ImagingEcho-Planar ImagingHumansImage EnhancementImage Processing, Computer-AssistedMotionPhantoms, ImagingDiffusionEPIFoetal imagingMicrostructureMotion correctionMRI

Identifiers

PMID29966941
PMCPMC6191883

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Registered trials

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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.