Evidence map›Paper›PMID 30823819›Full record

ArticleThe Journal of the Acoustical Society of America2019

Magnetic resonance imaging-based measurement of internal deformation of vibrating vocal fold models.

Cassandra J Taylor, Grayson J Tarbox, Bradley D Bolster, Neal K Bangerter, Scott L Thomson

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Synthetic, self-oscillating vocal fold models for voice production researcha).The Journal of the Acoustical Society of America · 2024
    Review
  2. 3D-Printed Synthetic Vocal Fold Models.Journal of voice : official journal of the Voice Foundation · 2021
    Article
  3. Article
  4. 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

5 authors.

Cassandra J TaylorDepartment of Mechanical Engineering, Brigham Young University, Provo, Utah 84602, USA.
Grayson J TarboxDepartment of Electrical and Computer Engineering, Brigham Young University, Provo, Utah 84602, USA.
Bradley D BolsterMR R&D, Siemens Healthineers, Salt Lake City, Utah 84108, USA.
Neal K BangerterDepartment of Electrical and Computer Engineering, Brigham Young University, Provo, Utah 84602, USA.
Scott L ThomsonDepartment of Mechanical Engineering, Brigham Young University, Provo, Utah 84602, USA.

Funding

Fluid Structure Interactions Within the Human LarynxR01DC005788 · NIDCD · PURDUE UNIVERSITY WEST LAFAYETTE · PI MONGEAU, LUC · 2003 to 2018
$6.4M
NIDCD NIH HHS R01 DC005788
6 · The paper itself

Abstract

A method is presented for tracking the internal deformation of self-oscillating vocal fold models using magnetic resonance imaging (MRI). Silicone models scaled to four times life-size to lower the flow-induced vibration frequency were embedded with fiducial markers in a coronal plane. Candidate marker materials were tested using static specimens, and two materials, cupric sulfate and glass, were chosen for testing in the vibrating vocal fold models. The vibrating models were imaged using a gated MRI protocol wherein MRI acquisition was triggered using the subglottal pressure signal. Two-dimensional image slices at different phases during self-oscillation were captured, and in each phase the fiducial markers were clearly visible. The process was also demonstrated using a three-dimensional scan at two phases. The benefit of averaging to increase signal-to-noise ratio was explored. The results demonstrate the ability to use MRI to acquire quantitative deformation data that could be used, for example, to validate computational models of flow-induced vocal fold vibration and quantify deformation fields encountered by cells in bioreactor studies.

Indexed as

Models, BiologicalEquipment DesignFiducial MarkersHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingSignal Processing, Computer-AssistedSiliconesVibrationVocal CordsSilicones

Identifiers

PMID30823819
PMCPMC6386639

What OpenQuestion holds

Textmetadata
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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.