Evidence map›Paper›PMID 29999204›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2018

Use of the NESMA Filter to Improve Myelin Water Fraction Mapping with Brain MRI.

Mustapha Bouhrara, David A Reiter, Michael C Maring, Jean-Marie Bonny, Richard G Spencer

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. REUSED: A deep neural network method for rapid whole-brain high-resolution myelin water fraction mapping from extremely under-sampled MRI.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2023
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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.

Mustapha BouhraraLaboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD.
David A ReiterDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA.
Michael C MaringLaboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD.
Jean-Marie BonnyUR370 QuaPA-INRA, F-63122 Saint-Genès-Champanelle, France.
Richard G SpencerLaboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD.

Funding

Advanced magnetic resonance imaging of the human brain in normative aging, cognitive impairment, and dementiaZIAAG000452 · NIA · NATIONAL INSTITUTE ON AGING · PI SPENCER, RICHARD · 2017 to 2025
$1.4M
Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

background and purposeMyelin water fraction (MWF) mapping permits direct visualization of myelination patterns in the developing brain and in pathology. MWF is conventionally measured through multiexponential T

methodsWe evaluated the performance of the NESMA filter for MWF mapping from clinical GRASE imaging data of the human brain, and compared the results to those calculated from unfiltered images. Numerical and in vivo analyses of the brains of three subjects, representing different ages, were conducted.

resultsOur results demonstrated the potential of the NESMA filter to permit high-quality in vivo MWF mapping. Indeed, NESMA permits substantial reduction of random variation in derived MWF estimates while preserving accuracy and detail.

conclusionsIn vivo estimation of MWF in the human brain from GRASE imaging data was markedly improved through use of the NESMA filter. The use of NESMA may contribute to the goal of high-quality MWF mapping in clinically feasible imaging times.

Indexed as

BrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMyelin SheathWaterWaterBrainGRASEmultispectral nonlocal filteringmyelin water fraction

Identifiers

PMID29999204
PMCPMC6212320

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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.