Evidence map›Paper›PMID 35735217›Full record

ArticleMagnetic resonance in medicine2022

Iterative static field map estimation for off-resonance correction in non-Cartesian susceptibility weighted imaging.

Guillaume Daval-Frérot, Aurélien Massire, Boris Mailhe, Mariappan Nadar, Alexandre Vignaud, Philippe Ciuciu

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Jointly Learning Non-CartesianBioengineering (Basel, Switzerland) · 2023
    Article
  4. 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

6 authors.

Guillaume Daval-FrérotSiemens Healthcare SAS, Saint-Denis, France.
Aurélien MassireSiemens Healthcare SAS, Saint-Denis, France.
Boris MailheSiemens Healthineers, Digital Technology & Innovation, Princeton, New Jersey, USA.
Mariappan NadarSiemens Healthineers, Digital Technology & Innovation, Princeton, New Jersey, USA.
Alexandre VignaudCEA, NeuroSpin, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID 0000-0001-9203-0247
Philippe CiuciuCEA, NeuroSpin, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatient-induced inhomogeneities in the magnetic field cause distortions and blurring during acquisitions with long readouts such as in susceptibility-weighted imaging (SWI). Most correction methods require collecting an additional THEORY: The static

methodsThe main step is to combine and unfold the multi-channel phase maps wrapped many times, and several competing algorithms are compared for this purpose. Four in vivo brain data sets collected using the recently proposed 3D spreading projection algorithm for rapid k-space sampling (SPARKLING) readouts are used to assess the proposed method.

resultsThe estimated 3D field maps generated with a 0.6 mm isotropic spatial resolution provide overall similar off-resonance corrections compared to reference corrections based on an external

conclusionA static

Indexed as

ArtifactsMagnetic Resonance ImagingAlgorithmsBrainEcho-Planar ImagingHumansImage Processing, Computer-AssistedPhantoms, Imagingcompressed sensingnon-Cartesian imagingSPARKLINGSWI

Identifiers

PMID35735217
PMCPMC9545844

What OpenQuestion holds

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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.