Literature DB >> 30823819

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

Cassandra J Taylor1, Grayson J Tarbox2, Bradley D Bolster3, Neal K Bangerter2, Scott L Thomson1.   

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.

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Year:  2019        PMID: 30823819      PMCID: PMC6386639          DOI: 10.1121/1.5091009

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  22 in total

1.  Signal intensity artifacts in clinical MR imaging.

Authors:  R W Jones; R J Witte
Journal:  Radiographics       Date:  2000 May-Jun       Impact factor: 5.333

2.  A mechanical model of vocal-fold collision with high spatial and temporal resolution.

Authors:  Heather E Gunter
Journal:  J Acoust Soc Am       Date:  2003-02       Impact factor: 1.840

3.  Modeling mechanical stresses as a factor in the etiology of benign vocal fold lesions.

Authors:  Heather E Gunter
Journal:  J Biomech       Date:  2004-07       Impact factor: 2.712

4.  Design and validation of a bioreactor for engineering vocal fold tissues under combined tensile and vibrational stresses.

Authors:  Ingo R Titze; Robert W Hitchcock; Kelly Broadhead; Ken Webb; Wenhua Li; Steven D Gray; Patrick A Tresco
Journal:  J Biomech       Date:  2004-10       Impact factor: 2.712

5.  The influence of subglottal acoustics on laboratory models of phonation.

Authors:  Zhaoyan Zhang; Juergen Neubauer; David A Berry
Journal:  J Acoust Soc Am       Date:  2006-09       Impact factor: 1.840

6.  Unsteady behavior of flow in a scaled-up vocal folds model.

Authors:  Michael Krane; Michael Barry; Timothy Wei
Journal:  J Acoust Soc Am       Date:  2007-12       Impact factor: 1.840

7.  Vocal tract in female registers--a dynamic real-time MRI study.

Authors:  Matthias Echternach; Johan Sundberg; Susan Arndt; Michael Markl; Martin Schumacher; Bernhard Richter
Journal:  J Voice       Date:  2009-01-29       Impact factor: 2.009

8.  Dynamic B-mode ultrasound imaging of vocal fold vibration during phonation.

Authors:  Chen-Gia Tsai; Jeng-Horng Chen; Yio-Wha Shau; Tzu-Yu Hsiao
Journal:  Ultrasound Med Biol       Date:  2009-08-27       Impact factor: 2.998

9.  Mechanical stress during phonation in a self-oscillating finite-element vocal fold model.

Authors:  Chao Tao; Jack J Jiang
Journal:  J Biomech       Date:  2006-12-21       Impact factor: 2.712

10.  Dynamic MRI of the vocal cords using phased-array coils: A feasibility study.

Authors:  Marc Schlamann; Gotz Lehnerdt; Stefan Maderwald; Susanne Ladd
Journal:  Indian J Radiol Imaging       Date:  2009 Apr-Jun
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  2 in total

1.  Volume velocity in a canine larynx model using time‑resolved tomographic particle image velocimetry.

Authors:  Charles Farbos de Luzan; Liran Oren; Alexandra Maddox; Ephraim Gutmark; Sid M Khosla
Journal:  Exp Fluids       Date:  2020-02-12       Impact factor: 2.480

2.  3D-Printed Synthetic Vocal Fold Models.

Authors:  Ryan G T Romero; Mark B Colton; Scott L Thomson
Journal:  J Voice       Date:  2020-04-17       Impact factor: 2.300

  2 in total

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