Evidence map›Paper›PMID 40892500›Full record

ArticleThe Journal of the Acoustical Society of America2025

Elucidating ultrasound imaging of /ɹ/ tongue shapes using full-wave numerical simulationsa).

Sarah R Li, Suzanne Boyce, T Douglas Mast

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sarah R LiBiomedical Engineering, University of Cincinnati, Cincinnati, Ohio 45207, USA.ORCID 0000-0001-8026-3414
Suzanne BoyceCommunication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio 45207, USA.ORCID 0000-0003-2105-2486
T Douglas MastBiomedical Engineering, University of Cincinnati, Cincinnati, Ohio 45207, USA.ORCID 0000-0002-5963-7335

Funding

Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
Improving clinical speech remediation with ultrasound technologyR01DC013668 · NIDCD · CUNY GRADUATE SCH AND UNIV CTR · PI BOYCE, SUZANNE ELIZABETH, WHALEN, DOUGLAS H · 2014 to 2018
$3.4M
Simplified Ultrasound Biofeedback for Speech RemediationR01DC017301 · NIDCD · UNIVERSITY OF CINCINNATI · PI BOYCE, SUZANNE ELIZABETH, MAST, T DOUGLAS · 2018 to 2022
$2.6M
Acoustic of Vocal Tract Shapes for LiquidsR01DC005250 · NIDCD · UNIVERSITY OF CINCINNATI · PI BOYCE, SUZANNE ELIZABETH · 2002 to 2006
$1.5M
Expanding articulatory information from ultrasound imaging of speech using MRI-based image simulations and audio measurementsF31DC020672 · NIDCD · UNIVERSITY OF CINCINNATI · PI LI, SARAH ROTONG · 2022 to 2023
$80k
NCATS NIH HHS UL1 TR000077NIDCD NIH HHS F31 DC020672NIDCD NIH HHS R01 DC005250NIDCD NIH HHS R01 DC013668NIDCD NIH HHS R01 DC017301
6 · The paper itself

Abstract

Midsagittal ultrasound images depict much of the tongue surface from root to tip, providing important articulatory information about tongue shape. However, portions of the tip can be obscured due to shadowing from the mandible bone and sublingual airspace. Also, tongue curvature or grooving within the elevational beam width can cause ambiguous or double-edge artifacts that obfuscate the midsagittal tongue surface. Because ensuing misinterpretations of tongue shape may negatively affect clinical and scientific assessments of speakers' articulation, this study characterizes causes of imaging artifacts and validates best practices for interpretation. Segmentations of /ɹ/ tongue shapes from magnetic resonance images (MRI) were compared to simulated ultrasound images, obtained by modeling full-wave acoustic wave propagation through segmented tissue models using the k-Wave toolbox. Acoustic parameters were adjusted to allow for accurate yet efficient simulations. The extent of tongue tip visibly missing from simulated images varied significantly across categories of /ɹ/ tongue shapes. Ambiguous edge artifacts occurred in 85% of parasagittal images, supporting the guideline to check midsagittal transducer placement when ambiguous edges are observed. The ground-truth tongue surface corresponded to local brightness maxima within the visible tongue contour. For 92% of ambiguous edges, the most proximal brightness maximum corresponded to the midsagittal tongue surface.

Indexed as

PhoneticsSpeech AcousticsTongueAdultArtifactsComputer SimulationFemaleHumansMagnetic Resonance ImagingMaleUltrasonography

Identifiers

PMID40892500
PMCPMC12871934

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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.