Evidence map›Paper›PMID 36289572›Full record

ArticleMagnetic resonance in medicine2023

Enhancing linguistic research through 2-mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low-rank reconstruction.

Riwei Jin, Ryan K Shosted, Fangxu Xing, Imani R Gilbert, Jamie L Perry, Jonghye Woo, Zhi-Pei Liang, Bradley P Sutton

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  9. Establishing a Clinical Protocol for Velopharyngeal MRI and Interpreting Imaging Findings.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2024
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  15. Quantifying Velopharyngeal Motion Variation in Speech Sound Production Using an Audio-Informed Dynamic MRI Atlas.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  16. 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.

Riwei JinDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-2982-1123
Ryan K ShostedDepartment of Linguistics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Fangxu XingGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA.
Imani R GilbertDepartment of Communication Sciences and Disorders, East Carolina University, Greenville, North Carolina, USA.
Jamie L PerryDepartment of Communication Sciences and Disorders, East Carolina University, Greenville, North Carolina, USA.
Jonghye WooGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA.
Zhi-Pei LiangBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Bradley P SuttonDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-8443-0408

Funding

Using Atlas-driven Imaging for Determining Variations in Velopharyngeal Function Among Children with Cleft Palate and Hypernasal SpeechR01DE027989 · NIDCR · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI PERRY, JAMIE L, SUTTON, BRADLEY P · 2019 to 2022
$2.7M
NIDCR NIH HHS R01 DE027989
6 · The paper itself

Abstract

purposeTo enable a more comprehensive view of articulations during speech through near-isotropic 3D dynamic MRI with high spatiotemporal resolution and large vocal-tract coverage.

methodsUsing partial separability model-based low-rank reconstruction coupled with a sparse acquisition of both spatial and temporal models, we are able to achieve near-isotropic resolution 3D imaging with a high frame rate. The total acquisition time of the speech acquisition is shortened by introducing a sparse temporal sampling that interleaves one temporal navigator with four randomized phase and slice-encoded imaging samples. Memory and computation time are improved through compressing coils based on the region of interest for low-rank constrained reconstruction with an edge-preserving spatial penalty.

resultsThe proposed method has been evaluated through experiments on several speech samples, including a standard reading passage. A near-isotropic 1.875 × 1.875 × 2 mm

conclusionThree-dimensional dynamic images of the vocal tract structures during speech with high spatiotemporal resolution and axial coverage is capable of enhancing linguistic research, enabling visualization of soft tissue motions that are not possible with other modalities.

Indexed as

Magnetic Resonance ImagingSpeechImaging, Three-DimensionalLanguageLinguistics3D dynamic imagingdynamic speech imaginglinguisticslow-rank approximation

Identifiers

PMID36289572
PMCPMC9712260

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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.