Evidence map›Paper›PMID 41724707›Full record

ArticleMagnetic resonance in medicine2026

Impact of Partial Echo on 4D Flow MRI: The Insight From Synthetic MRI.

Morgane Garreau, Thomas Puiseux, Ramiro Moreno, Solenn Toupin, Daniel Giese, Franck Nicoud, Simon Mendez

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Morgane GarreauIMAG, University of Montpellier, CNRS, Montpellier, France.ORCID 0000-0001-8242-6539
Thomas PuiseuxSpin Up, ALARA Group, Strasbourg, France.ORCID 0000-0002-3548-6085
Ramiro MorenoI2MC, INSERM/UPS UMR 1297, Toulouse, France.ORCID 0000-0002-1702-1380
Solenn ToupinSiemens Healthineers France, Saint-Denis, France.ORCID 0000-0001-9967-0044
Daniel GieseResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.ORCID 0000-0002-3925-4441
Franck NicoudIMAG, University of Montpellier, CNRS, Montpellier, France.ORCID 0000-0002-0006-8422
Simon MendezIMAG, University of Montpellier, CNRS, Montpellier, France.ORCID 0000-0002-0863-2024

Funding

GENCI-CINES A0120312498GENCI-CINES A0140312498MESO@LR-Platform at the University of Montpellier
6 · The paper itself

Abstract

purposeThe aim of this study is to investigate the impact of the partial echo on 4D flow MRI sequences thanks to in silico coupled MRI-CFD (computational fluid dynamics) simulations.

methodsTwo sequences are studied: one with a full echo (FE) and another using partial echo (PE) with an echo symmetry fraction of 0.75. MRI-CFD simulations are conducted on an in silico pulsatile flow phantom for a sinusoidal inflow and a physiological inflow typical of the ascending aorta.

resultsFor both inflow signals, PE-based simulations exhibited better compliance with their matching CFD simulations compared to the FE ones.

conclusionThe reduction of flow misregistration artifacts achieved through the use of PE appears to be more beneficial than the drawback of incomplete k-space filling. The MRI-CFD framework presented in this study appears as a useful tool to investigate the design of MRI sequences and to stratify its different sources of errors.

Indexed as

AortaImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance AngiographyMagnetic Resonance ImagingModels, CardiovascularAlgorithmsBlood Flow VelocityComputer SimulationHumansImage EnhancementPhantoms, ImagingReproducibility of ResultsSensitivity and Specificity4D flowcomputational fluid dynamics (CFD)numerical simulationpartial echo (PE)

Identifiers

PMID41724707
PMCPMC13049280

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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.