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A guided approach for automatic segmentation and modeling of the vocal tract in MRI images

Abdulkadir Eryildirim 1 Marie-Odile Berger 1
1 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : An automatic approach for segmenting tongue contours in physical correspondences is described in this paper. The goal is to be able to segment large MRI database and to automatically produce vocal tract models from these data. We extend the guided method presented in \cite{peng2010} in order to obtain physically corresponding curves and provide in-deep evaluation of the method.
Keywords : curve segmentation IRM
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https://hal.inria.fr/inria-00630642
Contributor : Marie-Odile Berger <>
Submitted on : Monday, October 10, 2011 - 3:32:25 PM
Last modification on : Tuesday, May 18, 2021 - 3:42:01 PM
Long-term archiving on: : Tuesday, November 13, 2012 - 3:35:41 PM

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Abdulkadir Eryildirim, Marie-Odile Berger. A guided approach for automatic segmentation and modeling of the vocal tract in MRI images. European Signal Processing Conference (EUSIPCO‐2011), Aug 2011, Barcelone, Spain. ⟨inria-00630642⟩

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