Literature DB >> 27943448

One-second MRI of a three-dimensional vocal tract to measure dynamic articulator modifications.

Michael Burdumy1,2, Louisa Traser2,3, Fabian Burk2, Bernhard Richter2, Matthias Echternach2, Jan G Korvink4, Jürgen Hennig1, Maxim Zaitsev1.   

Abstract

PURPOSE: To enable three-dimensional (3D) vocal tract imaging of dynamic singing or speech tasks at voxel sizes of 1.6 × 1.6 × 1.3 mm3 at 1.3 s per image.
MATERIALS AND METHODS: A Stack-of-Stars method was implemented and enhanced to allow for fast and efficient k-space sampling of the box-shaped vocal tract using a 3 Tesla MRI system. Images were reconstructed using an off-line image reconstruction using compressed sensing theory, leading to the abovementioned spatial and temporal resolutions. To validate spatial resolution, a phantom with holes of defined sizes was measured. The applicability of the imaging method was validated in an eight-subject study of amateur singers that were required to sustain phonation at a constant pitch, past their comfortable expiratory level. A segmentation of the vocal tract over all phonation time steps was done for one subject. Anatomical distances (larynx position and pharynx width) were calculated and compared for all subjects.
RESULTS: Analysis of the phantom study revealed that the imaging method could provide at least 1.6 mm isotropic resolution. Visual inspection of the segmented vocal tract during phonation showed modifications of the lips, tongue, and larynx position in all three dimensions. The mean larynx position per subject amounted to 52-85 mm, deviating up to 5% over phonation time. Parameter pharynx width was 32-181 mm2 on average per subject, deviating up to 16% over phonation time. Visual inspection of the parameter course revealed no common compensation strategy for long sustained phonation.
CONCLUSION: The results of both phantom and in vivo measurements show the applicability of the fast 3D imaging method for voice research and indicate that modifications in all three dimensions can be observed and quantified. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:94-101.
© 2016 International Society for Magnetic Resonance in Medicine.

Keywords:  radial trajectory; real time imaging; singer imaging; speech MRI; vocal tract

Mesh:

Year:  2016        PMID: 27943448     DOI: 10.1002/jmri.25561

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  13 in total

1.  Improved real-time tagged MRI using REALTAG.

Authors:  Weiyi Chen; Nam Gyun Lee; Dani Byrd; Shrikanth Narayanan; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2019-12-24       Impact factor: 4.668

2.  Test-retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging.

Authors:  Johannes Töger; Tanner Sorensen; Krishna Somandepalli; Asterios Toutios; Sajan Goud Lingala; Shrikanth Narayanan; Krishna Nayak
Journal:  J Acoust Soc Am       Date:  2017-05       Impact factor: 1.840

3.  3D dynamic MRI of the vocal tract during natural speech.

Authors:  Yongwan Lim; Yinghua Zhu; Sajan Goud Lingala; Dani Byrd; Shrikanth Narayanan; Krishna Shrinivas Nayak
Journal:  Magn Reson Med       Date:  2018-11-03       Impact factor: 4.668

4.  Extreme MRI: Large-scale volumetric dynamic imaging from continuous non-gated acquisitions.

Authors:  Frank Ong; Xucheng Zhu; Joseph Y Cheng; Kevin M Johnson; Peder E Z Larson; Shreyas S Vasanawala; Michael Lustig
Journal:  Magn Reson Med       Date:  2020-04-09       Impact factor: 4.668

5.  Intermittently tagged real-time MRI reveals internal tongue motion during speech production.

Authors:  Weiyi Chen; Dani Byrd; Shrikanth Narayanan; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2019-03-28       Impact factor: 4.668

Review 6.  Real-Time Magnetic Resonance Imaging.

Authors:  Krishna S Nayak; Yongwan Lim; Adrienne E Campbell-Washburn; Jennifer Steeden
Journal:  J Magn Reson Imaging       Date:  2020-12-09       Impact factor: 4.813

7.  The larynx ruler to measure height and profile of vocal folds: a proof of concept.

Authors:  Gauthier Desuter; Benjamin Mertens; Alain Delchambre; Julie van Lith-Bijl; Peter Paul van Benthem; Elisabeth Sjögren
Journal:  Med Devices (Auckl)       Date:  2017-07-05

8.  Nonrigid 3D motion estimation at high temporal resolution from prospectively undersampled k-space data using low-rank MR-MOTUS.

Authors:  Niek R F Huttinga; Tom Bruijnen; Cornelis A T van den Berg; Alessandro Sbrizzi
Journal:  Magn Reson Med       Date:  2020-11-10       Impact factor: 4.668

9.  A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images.

Authors:  Yongwan Lim; Asterios Toutios; Yannick Bliesener; Ye Tian; Sajan Goud Lingala; Colin Vaz; Tanner Sorensen; Miran Oh; Sarah Harper; Weiyi Chen; Yoonjeong Lee; Johannes Töger; Mairym Lloréns Monteserin; Caitlin Smith; Bianca Godinez; Louis Goldstein; Dani Byrd; Krishna S Nayak; Shrikanth S Narayanan
Journal:  Sci Data       Date:  2021-07-20       Impact factor: 6.444

10.  Line scan-based rapid magnetic resonance imaging of repetitive motion.

Authors:  Hankyeol Lee; Jeongtaek Lee; Jang-Yeon Park; Seung-Kyun Lee
Journal:  Sci Rep       Date:  2021-02-24       Impact factor: 4.379

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