Segmentation and Analysis of the Oral and Nasal Cavities from MR Time Sequences

  • Samuel Silva
  • Paula Martins
  • Catarina Oliveira
  • Augusto Silva
  • António Teixeira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7325)

Abstract

The study of dynamic aspects of speech production in Portuguese is very important to characterize vowel nasalization. In this context, the analysis of velum movement remains a challenging task and only a few studies present articulatory descriptions of Portuguese nasal vowels.

Advances in real-time MRI (magnetic resonance imaging) allow the acquisition of vocal tract images with reasonable spatial and temporal resolution to enable observation and quantification of articulatory movements. The resulting data consists of large image sequences and the structures of interest (e.g., oral cavity) have to be identified (segmented) throughout to enable analysis which can be a time consuming task.

This article presents a segmentation tool for real-time MR image sequences of the oral and nasal cavities. The proposed tool has been implemented using MevisLab and provides features for the analysis of the resulting data.

Keywords

Oral Cavity Nasal Cavity Segmentation Method Speech Production Vocal Tract 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Samuel Silva
    • 1
  • Paula Martins
    • 2
  • Catarina Oliveira
    • 2
  • Augusto Silva
    • 1
  • António Teixeira
    • 1
  1. 1.DETI/IEETAUniversity of AveiroAveiroPortugal
  2. 2.ESSUA/IEETAUniversity of AveiroAveiroPortugal

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