Evidence map›Paper›PMID 39902546›Full record

ArticleMagnetic resonance in medicine2025

MPRAGE

Marc-Antoine Fortin, Rüdiger Stirnberg, Yannik Völzke, Laurent Lamalle, Eberhard Pracht, Daniel Löwen, Tony Stöcker, Pål Erik Goa

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. MPRAGEMagnetic resonance in medicine · 2025
    Article
  3. 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

8 authors.

Marc-Antoine FortinDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Trøndelag, Norway.ORCID 0009-0006-9724-0626
Rüdiger StirnbergGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0001-7021-1063
Yannik VölzkeGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0002-3907-5494
Laurent LamalleGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0002-8930-7337
Eberhard PrachtGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Daniel LöwenGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0003-3709-9297
Tony StöckerGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0002-8946-9141
Pål Erik GoaDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Trøndelag, Norway.ORCID 0000-0002-6866-6111

Funding

Bundesministerium für Bildung und Forschung 01ED2109A/BFonds De La Recherche Scientifique - FNRS PINT-MULTI/BEJ R.8006.20Norges Forskningsråd 322980Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 121N028
6 · The paper itself

Abstract

purposeBrain segmentation and multi-parameter mapping (MPM) are important steps in neurodegenerative disease characterization. However, acquiring both a high-resolution T1w sequence like MPRAGE (standard input to brain segmentation) and an MPM in the same neuroimaging protocol increases scan time and patient discomfort, making it difficult to combine both in clinical examinations.

methodsA novel approach to synthesize T1w images from MPM images, named MPRAGE

resultsThe proposed MPRAGE

conclusionThe MPRAGE

Indexed as

BrainImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsFemaleHumansImage EnhancementMaleReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise Ratiobrain segmentationmulti‐contrastmulti‐parameter mappingneuroimagingsynthetic MPRAGEUHF‐MRI

Identifiers

PMID39902546
PMCPMC12021339

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.