Evidence map›Paper›PMID 37888339›Full record

ArticleJournal of imaging2023

Super-Resolved Dynamic 3D Reconstruction of the Vocal Tract during Natural Speech.

Karyna Isaieva, Freddy Odille, Yves Laprie, Guillaume Drouot, Jacques Felblinger, Pierre-André Vuissoz

Registry-linked trialAbstract read
In one paragraph

Article in Journal of imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05218460 (Evaluation of Methodological and Technical DEvelopmeNts to Improve the Quality and Comfort of Magnetic Resonance Imaging Exam on Voluntary Subjects), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05218460 narecruitingnot on this map

Evaluation of Methodological and Technical DEvelopmeNts to Improve the Quality and Comfort of Magnetic Resonance Imaging Exam on Voluntary Subjects

TypeinterventionalSponsorCentral Hospital, Nancy, FranceRan2022 to 2027Enrolled720ConditionsHealthy, PathologyArmsMRI examination
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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.

Karyna IsaievaIADI, Université de Lorraine, U1254 INSERM, F-54000 Nancy, France.
Freddy OdilleIADI, Université de Lorraine, U1254 INSERM, F-54000 Nancy, France.ORCID 0000-0001-5260-8905
Yves LaprieLORIA, Université de Lorraine, CNRS, INRIA, F-54000 Nancy, France.
Guillaume DrouotCIC-IT 1433, CHRU de Nancy, INSERM, Université de Lorraine, F-54000 Nancy, France.
Jacques FelblingerIADI, Université de Lorraine, U1254 INSERM, F-54000 Nancy, France.
Pierre-André VuissozIADI, Université de Lorraine, U1254 INSERM, F-54000 Nancy, France.ORCID 0000-0003-3519-1743

Funding

Agence Nationale de la Recherche ANR-20-CE23-0008European Union through the European Regional Development Fund FEDER-FSE Lorraine et Massif des Vosges 2014-2020French State-Region contract IT2MP
6 · The paper itself

Abstract

MRI is the gold standard modality for speech imaging. However, it remains relatively slow, which complicates imaging of fast movements. Thus, an MRI of the vocal tract is often performed in 2D. While 3D MRI provides more information, the quality of such images is often insufficient. The goal of this study was to test the applicability of super-resolution algorithms for dynamic vocal tract MRI. In total, 25 sagittal slices of 8 mm with an in-plane resolution of 1.6 × 1.6 mm

Indexed as

dynamic MRImagnetic resonance imagingspeechsuper-resolutionvocal tract

Identifiers

PMID37888339
PMCPMC10607793

What OpenQuestion holds

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Registered trials

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.