Literature DB >> 23086261

Dynamic real-time magnetic resonance imaging for the analysis of voice physiology.

Matthias Echternach1, Michael Markl, Bernhard Richter.   

Abstract

PURPOSE OF REVIEW: For a number of years, it has been possible to use dynamic real-time magnetic resonance imaging (MRI) to analyse the dynamic processes which occur in the human body. In the fields of laryngology and phoniatrics, such dynamic processes are found not only in swallowing, but also in voice and speech production. This article aims to present an overview of how the use of MRI might add to our current understanding of the dynamic processes involved in voice production. RECENT
FINDINGS: It is shown that up to now the analysis of vocal fold oscillations has been limited by MRI's relatively low sampling rate of up to 50 Hz. Nevertheless, more detailed analysis does seem possible with regard to the modulation of the power source and vocal tract.
SUMMARY: Dynamic real-time MRI offers a great opportunity for the analysis of voice production in all stages of the voice production system.

Entities:  

Mesh:

Year:  2012        PMID: 23086261     DOI: 10.1097/MOO.0b013e3283585f87

Source DB:  PubMed          Journal:  Curr Opin Otolaryngol Head Neck Surg        ISSN: 1068-9508            Impact factor:   2.064


  6 in total

1.  High-resolution dynamic speech imaging with joint low-rank and sparsity constraints.

Authors:  Maojing Fu; Bo Zhao; Christopher Carignan; Ryan K Shosted; Jamie L Perry; David P Kuehn; Zhi-Pei Liang; Bradley P Sutton
Journal:  Magn Reson Med       Date:  2014-06-09       Impact factor: 4.668

2.  Weight-bearing MR imaging as an option in the study of gravitational effects on the vocal tract of untrained subjects in singing phonation.

Authors:  Louisa Traser; Michael Burdumy; Bernhard Richter; Marco Vicari; Matthias Echternach
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

3.  Sub-millisecond 2D MRI of the vocal fold oscillation using single-point imaging with rapid encoding.

Authors:  Johannes Fischer; Ali Caglar Özen; Serhat Ilbey; Louisa Traser; Matthias Echternach; Bernhard Richter; Michael Bock
Journal:  MAGMA       Date:  2021-09-20       Impact factor: 2.310

4.  A Fast Semiautomatic Algorithm for Centerline-Based Vocal Tract Segmentation.

Authors:  Anton A Poznyakovskiy; Alexander Mainka; Ivan Platzek; Dirk Mürbe
Journal:  Biomed Res Int       Date:  2015-10-18       Impact factor: 3.411

5.  Morphometric Differences of Vocal Tract Articulators in Different Loudness Conditions in Singing.

Authors:  Matthias Echternach; Fabian Burk; Michael Burdumy; Louisa Traser; Bernhard Richter
Journal:  PLoS One       Date:  2016-04-20       Impact factor: 3.240

Review 6.  Temporal and Permanent Changes Induced by Maxillary Sinus Lifting with Bone Grafts and Maxillary Functional Endoscopic Sinus Surgery in the Voice Characteristics-Systematic Review.

Authors:  Rafael Delgado-Ruiz; Daniele Botticelli; Georgios Romanos
Journal:  Dent J (Basel)       Date:  2022-03-11
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.