Literature DB >> 11708524

Modeling tongue surface contours from Cine-MRI images.

M Stone1, E P Davis, A S Douglas, M N Aiver, R Gullapalli, W S Levine, A J Lundberg.   

Abstract

This study demonstrated that a simple mechanical model of global tongue movement in parallel sagittal planes could be used to quantify tongue motion during speech. The goal was to represent simply the differences in 2D tongue surface shapes and positions during speech movements and in subphonemic speech events such as coarticulation and left-to-right asymmetries. The study used tagged Magnetic Resonance Images to capture motion of the tongue during speech. Measurements were made in three sagittal planes (left, midline, right) during movement from consonants (/k/, /s/) to vowels (/i/, /a/, /u/). MR image-sequences were collected during the C-to-V movement. The image-sequence had seven time-phases (frames), each 56 ms in duration. A global model was used to represent the surface motion. The motions were decomposed into translation, rotation, homogeneous stretch, and in-plane shear. The largest C-to-V shape deformation was from /k/ to /a/. It was composed primarily of vertical compression, horizontal expansion, and downward translation. Coarticulatory effects included a trade-off in which tongue shape accommodation was used to reduce the distance traveled between the C and V. Left-to-right motion asymmetries may have increased rate of motion by reducing the amount of mass to be moved.

Entities:  

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Year:  2001        PMID: 11708524     DOI: 10.1044/1092-4388(2001/081)

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  15 in total

1.  Tissue-point motion tracking in the tongue from cine MRI and tagged MRI.

Authors:  Jonghye Woo; Maureen Stone; Yuanming Suo; Emi Z Murano; Jerry L Prince
Journal:  J Speech Lang Hear Res       Date:  2014-04-01       Impact factor: 2.297

2.  Semi-automatic segmentation for 3D motion analysis of the tongue with dynamic MRI.

Authors:  Junghoon Lee; Jonghye Woo; Fangxu Xing; Emi Z Murano; Maureen Stone; Jerry L Prince
Journal:  Comput Med Imaging Graph       Date:  2014-08-01       Impact factor: 4.790

3.  Automated post-hoc noise cancellation tool for audio recordings acquired in an MRI scanner.

Authors:  Rhodri Cusack; Nick Cumming; Daniel Bor; Dennis Norris; Johannes Lyzenga
Journal:  Hum Brain Mapp       Date:  2005-04       Impact factor: 5.038

4.  A scale space based algorithm for automated segmentation of single shot tagged MRI of shearing deformation.

Authors:  Andre M J Sprengers; Matthan W A Caan; Kevin M Moerman; Aart J Nederveen; Rolf M Lamerichs; Jaap Stoker
Journal:  MAGMA       Date:  2012-08-15       Impact factor: 2.310

5.  Whistling shares a common tongue with speech: bioacoustics from real-time MRI of the human vocal tract.

Authors:  Michel Belyk; Benjamin G Schultz; Joao Correia; Deryk S Beal; Sonja A Kotz
Journal:  Proc Biol Sci       Date:  2019-09-25       Impact factor: 5.349

6.  Automatic quantitative analysis of ultrasound tongue contours via wavelet-based functional mixed models.

Authors:  Leonardo Lancia; Philip Rausch; Jeffrey S Morris
Journal:  J Acoust Soc Am       Date:  2015-02       Impact factor: 1.840

7.  A Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRI.

Authors:  Jerry L Prince; Maureen Stone; Arnold D Gomez; Jordan R Green; Christopher J Hartnick; Thomas J Brady; Timothy G Reese; Van J Wedeen; Georges El Fakhri
Journal:  IEEE Trans Med Imaging       Date:  2018-09-18       Impact factor: 10.048

8.  Radiation dose to the tongue and velopharynx predicts acoustic-articulatory changes after chemo-IMRT treatment for advanced head and neck cancer.

Authors:  Irene Jacobi; Arash Navran; Lisette van der Molen; Wilma D Heemsbergen; Frans J M Hilgers; Michiel W M van den Brekel
Journal:  Eur Arch Otorhinolaryngol       Date:  2015-02-01       Impact factor: 2.503

9.  Reconstruction of high-resolution tongue volumes from MRI.

Authors:  Jonghye Woo; Emi Z Murano; Maureen Stone; Jerry L Prince
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-27       Impact factor: 4.538

10.  Determining functional units of tongue motion via graph-regularized sparse non-negative matrix factorization.

Authors:  Jonghye Woo; Fangxu Xing; Junghoon Lee; Maureen Stone; Jerry L Prince
Journal:  Med Image Comput Comput Assist Interv       Date:  2014
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