Spatiotemporal visualization of the tongue surface using ultrasound and Kriging (SURFACES)

Analyzing the motion of the human tongue surface provides valuable information about speech and swallowing. One method to analyse this motion is to acquire two-dimensional ultrasound images and extract the tongue surface contours from them. Quantitative and statistical analysis of these extracted co...

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Publicado en:Clinical Linguistics & Phonetics Vol. 19; no. 6/7; pp. 529 - 545
Autores principales: Parthasarathy V, Stone M, Prince JL
Formato: algorithm equations & formulas pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Sep-Nov2005
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Spatiotemporal visualization of the tongue surface using ultrasound and Kriging (SURFACES)
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          Parthasarathy V
          Stone M
          Prince JL
        affil: Dept. of Electrical and Computer Engineering, Johns Hopkins University
      sug:
        subj:
          Deglutition Evaluation
          Speech Production Measurement
          Tongue Ultrasonography
          Ultrasonography Utilization
          Algorithms
          Comparative Studies
          Descriptive Statistics
          Evaluation Research
          Funding Source
          Graphical User Interface
          Kinematics
          Software
          Human
      ab: Analyzing the motion of the human tongue surface provides valuable information about speech and swallowing. One method to analyse this motion is to acquire two-dimensional ultrasound images and extract the tongue surface contours from them. Quantitative and statistical analysis of these extracted contours is made difficult because of the absence of physical fleshpoint markers on them. In this research, this problem is overcome by pre-processing the contours using Kriging. Pre-processing includes extrapolating and resampling the contours on a regular spatial grid. The preprocessed contours can then be visualized as spatiotemporal surfaces. A dedicated user interface called SURFACES is designed to aid in the generation, visualization and quantitative comparisons of these spatiotemporal surfaces.
      pubtype: Academic Journal
      doctype:
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        equations & formulas
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        research
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      ougenre: Article
    language: English
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