Evidence map›Paper›PMID 27552743›Full record

ArticleIEEE transactions on medical imaging2017

Noise Estimation and Reduction in Magnetic Resonance Imaging Using a New Multispectral Nonlocal Maximum-likelihood Filter.

Mustapha Bouhrara, Jean-Marie Bonny, Beth G Ashinsky, Michael C Maring, Richard G Spencer

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 33 citations in OpenAlex.

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  9. Use of the NESMA Filter to Improve Myelin Water Fraction Mapping with Brain MRI.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018
    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 at 2 institutions in 2 countries.

Mustapha Bouhrara
Jean-Marie Bonny
Beth G Ashinsky
Michael C Maring
Richard G Spencer
National Institutes of Health · USUniversité Clermont Auvergne · FR

Funding

Multicompartment quantification of tissue in vitro and in vivo with magnetic resonance imaging and spectroscopyZIAAG000930 · NIA · NATIONAL INSTITUTE ON AGING · PI SPENCER, RICHARD · 2015 to 2025
$11.6M
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
NMR STUDIES OF PHYSIOLOGY AND BIOCHEMISTRY IN CELLS, ORGANS AND ANIMALSZ01AG000381 · NIA · AGING · PI SPENCER, RICHARD · 1991 to 2007
$1.0M
Intramural NIH HHS Z01 AG000381Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

Denoising of magnetic resonance (MR) images enhances diagnostic accuracy, the quality of image manipulations such as registration and segmentation, and parameter estimation. The first objective of this paper is to introduce a new, high-performance, nonlocal filter for noise reduction in MR image sets consisting of progressively-weighted, that is, multispectral, images. This filter is a multispectral extension of the nonlocal maximum likelihood filter (NLML). Performance was evaluated on synthetic and in-vivo T

Indexed as

Magnetic Resonance ImagingAlgorithmsBrainHumansLikelihood FunctionsNoise

Identifiers

PMID27552743
PMCPMC5958909
OpenAlexW2514314953

What OpenQuestion holds

Textmetadata
LicenceTDM
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.