Evidence map›Paper›PMID 30582226›Full record

ArticleMagnetic resonance in medicine2019

Frequency difference mapping applied to the corpus callosum at 7T.

Benjamin C Tendler, Richard Bowtell

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microscopic susceptibility anisotropy imaging.Magnetic resonance in medicine · 2020
    Article
  5. Article
  6. Article
  7. Article
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.

Benjamin C TendlerSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, United Kingdom.
Richard BowtellSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, United Kingdom.

Funding

Engineering and Physical Sciences Research Council 1367067Medical Research Council G0901321Medical Research Council MR/N008537/1
6 · The paper itself

Abstract

purposeFrequency difference mapping (FDM) is a phase processing technique which characterizes the nonlinear temporal evolution of the phase of gradient echo (GE) signals. Here, a novel FDM-processing algorithm is introduced, which is shown to reveal information about white matter microstructure. Unlike some other phase-processing techniques, the FDM algorithm presented here does not require the use of phase unwrapping or sophisticated image processing. It uses a series of scaled complex divisions to unwrap phase and remove background fields.

methodsTen healthy subjects underwent a series of single-slice, sagittal multi-echo GE scans at 7T with the slice positioned at the midline. Phase data were processed with the novel FDM algorithm, and the temporal evolution of the magnitude signal and frequency difference was examined in 5 regions of the corpus callosum (CC; genu, anterior body, middle body, posterior body, and splenium).

resultsConsistent frequency difference contrast relative to surrounding tissue was observed in all subjects in the CC and in other white matter regions where the nerve fibers run perpendicular to

conclusionThe novel FDM algorithm presented here yields images sensitive to tissue microstructure and microstructural differences over the CC in a simple manner, without the requirement for phase unwrapping or sophisticated image processing.

Indexed as

AdultAlgorithmsAxonsBrain MappingCorpus CallosumDiffusion Tensor ImagingFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedMaleMyelin SheathWhite MatterYoung Adultcorpus callosumfrequency difference mappingmicrostructurephase processingthree-pool modelwhite matter

Identifiers

PMID30582226
PMCPMC6492142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.