Evidence map›Paper›PMID 22213396›Full record

ArticleMagnetic resonance in medicine2012

Correction of vibration artifacts in DTI using phase-encoding reversal (COVIPER).

Siawoosh Mohammadi, Zoltan Nagy, Chloe Hutton, Oliver Josephs, Nikolaus Weiskopf

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. Multiband diffusion tensor imaging for presurgical mapping of motor and language pathways in patients with brain tumors.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021
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  16. Diffusion imaging in the rat cervical spinal cord.Journal of visualized experiments : JoVE · 2015
    Article
  17. Article
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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

5 authors.

Siawoosh MohammadiWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, United Kingdom. siawoosh.mohammadi@ucl.ac.uk
Zoltan Nagy
Chloe Hutton
Oliver Josephs
Nikolaus Weiskopf

Funding

Wellcome Trust 091593Wellcome Trust 091593/Z/10/Z
6 · The paper itself

Abstract

Diffusion tensor imaging is widely used in research and clinical applications, but still suffers from substantial artifacts. Here, we focus on vibrations induced by strong diffusion gradients in diffusion tensor imaging, causing an echo shift in k-space and consequential signal-loss. We refined the model of vibration-induced echo shifts, showing that asymmetric k-space coverage in widely used Partial Fourier acquisitions results in locally differing signal loss in images acquired with reversed phase encoding direction (blip-up/blip-down). We implemented a correction of vibration artifacts in diffusion tensor imaging using phase-encoding reversal (COVIPER) by combining blip-up and blip-down images, each weighted by a function of its local tensor-fit error. COVIPER was validated against low vibration reference data, resulting in an error reduction of about 72% in fractional anisotropy maps. COVIPER can be combined with other corrections based on phase encoding reversal, providing a comprehensive correction for eddy currents, susceptibility-related distortions and vibration artifact reduction.

Indexed as

AlgorithmsArtifactsSignal Processing, Computer-AssistedBrainBrain MappingDiffusion Magnetic Resonance ImagingImage EnhancementImage Interpretation, Computer-AssistedNumerical Analysis, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityVibration

Identifiers

PMID22213396
PMCPMC3569871

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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.