Literature DB >> 26736572

High-resolution dynamic speech imaging with deformation estimation.

Marissa S Barlaz, Ryan K Shosted, Bradley P Sutton.   

Abstract

Dynamic speech magnetic resonance imaging (DSMRI) is a promising technique for visualizing articulatory motion in real time. However, many existing applications of DSMRI have been limited by slow imaging speed and the lack of quantitative motion analysis. In this paper, we present a novel DS-MRI technique to simultaneously estimate dynamic image sequence of speech and the associated deformation field. Extending on our previous Partial Separability (PS) model-based methods, the proposed technique visualizes both speech motion and deformation with a spatial resolution of 2.2 × 2.2 mm(2) and a nominal frame rate of 100 fps. Also, the technique enables direct analysis of articulatory motion through the deformation fields. Effectiveness of the method is systematically examined via in vivo experiments. Utilizing the obtained high-resolution images and deformation fields, we also performed a phonetics study on Brazilian Portuguese to show the method's practical utility.

Mesh:

Year:  2015        PMID: 26736572     DOI: 10.1109/EMBC.2015.7318672

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  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

2.  Numerical Simulation of Focused Shock Shear Waves in Soft Solids and a Two-Dimensional Nonlinear Homogeneous Model of the Brain.

Authors:  B Giammarinaro; F Coulouvrat; G Pinton
Journal:  J Biomech Eng       Date:  2016-04       Impact factor: 2.097

3.  Comparison of Cartesian and Non-Cartesian Real-Time MRI Sequences at 1.5T to Assess Velar Motion and Velopharyngeal Closure during Speech.

Authors:  Andreia C Freitas; Marzena Wylezinska; Malcolm J Birch; Steffen E Petersen; Marc E Miquel
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

  3 in total

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