Evidence map›Paper›PMID 30504640›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2019

A Comparison of Techniques for Correcting Eddy-current and Motion-induced Distortions in Diffusion-weighted Echo-planar Images.

Jun Haneda, Akifumi Hagiwara, Masaaki Hori, Akihiko Wada, Issei Fukunaga, Katsutoshi Murata, Koji Kamagata, Shohei Fujita, Tomoko Maekawa, Ryusuke Irie and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Real-time BMedical physics · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Jun HanedaDepartment of Radiology, Koshigaya Municipal Hospital.
Akifumi HagiwaraDepartment of Radiology, Juntendo University School of Medicine.
Masaaki HoriDepartment of Radiology, Juntendo University School of Medicine.
Akihiko WadaDepartment of Radiology, Juntendo University School of Medicine.
Issei FukunagaDepartment of Radiology, Juntendo University School of Medicine.
Katsutoshi MurataSiemens Healthcare Japan.
Koji KamagataDepartment of Radiology, Juntendo University School of Medicine.
Shohei FujitaDepartment of Radiology, Juntendo University School of Medicine.
Tomoko MaekawaDepartment of Radiology, Juntendo University School of Medicine.
Ryusuke IrieDepartment of Radiology, Juntendo University School of Medicine.
Tomohiro TakamuraDepartment of Radiology, Juntendo University School of Medicine.
Michimasa SuzukiDepartment of Radiology, Juntendo University School of Medicine.
Kanako Kunishima KumamaruDepartment of Radiology, Juntendo University School of Medicine.
Shigeki AokiDepartment of Radiology, Juntendo University School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to show the efficacy of dynamic field correction (DFC), a technique provided by the scanner software, in comparison to the FMRIB Software Library (FSL) post-processing "eddy" tool. DFC requires minimal additional scan time for the correction of eddy-current and motion-induced geometrical image distortions in diffusion-weighted echo-planar images. The fractional anisotropy derived from images corrected with DFC were comparable to images corrected with the "eddy" tool and significantly higher than images without correction, which demonstrates the utility of DFC.

Indexed as

AnisotropyEcho-Planar ImagingImage Processing, Computer-AssistedSoftwarediffusion-weighted magnetic resonance imagingdynamic field correctionecho-planar imagingeddy current

Identifiers

PMID30504640
PMCPMC6883088

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.