Rapid semi-automatic segmentation of real-time magnetic resonance images for parametric vocal tract analysis

Michael I. Proctor*, Danny Bone, Nassos Katsamanis, Shrikanth S. Narayanan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

51 Citations (Scopus)

Abstract

A method of rapid semi-automatic segmentation of real-time magnetic resonance image data for parametric analysis of vocal tract shaping is described. Tissue boundaries are identified by seeking pixel intensity thresholds along tract-normal grid-lines. Airway contours are constrained with respect to a tract centerline defined as an optimal path over the graph of all intensity minima between the glottis and lips. The method allows for superimposition of reference boundaries to guide automatic segmentation of anatomical features which are poorly imaged using magnetic resonance - dentition and the hard palate - resulting in more accurate sagittal sections than those produced by fully automatic segmentation. We demonstrate the utility of the technique in the dynamic analysis of tongue shaping in Tamil liquid consonants.

Original languageEnglish
Title of host publicationProceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010
Place of PublicationBaixas, France
PublisherInternational Speech Communication Association
Pages1576-1579
Number of pages4
ISBN (Print)9781617821233
Publication statusPublished - 2010
Externally publishedYes
Event11th Annual Conference of the International-Speech-Communication-Association 2010 - Makuhari, Japan
Duration: 26 Sept 201030 Sept 2010

Conference

Conference11th Annual Conference of the International-Speech-Communication-Association 2010
Country/TerritoryJapan
CityMakuhari
Period26/09/1030/09/10

Keywords

  • speech production
  • vocal tract segmentation
  • MRI
  • tongue shaping
  • articulatory analysis

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