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A shape base framework to segmentation of tongue contours from MRI data

Ting Peng 1 Erwan Kerrien 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 : We propose a shape-based variational framework to curve evolution for the segmen tation of tongue contours from MRI mid-sagittal images. In particular, we first build a PCA model on tongue contours of different articulations of a reference s peaker, and use it as shape priors. The parameters of the curve representation a re then manipulated to minimize an objective function. The designed energy integ rates both global and local image information. The global term extracts roughly the object in the whole image domain; while the local term improves precision in side a small neighborhood around the contour. Promising results and comparisons with other approaches demonstrate the efficiency of our new model.
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https://hal.inria.fr/inria-00442138
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Submitted on : Friday, September 17, 2010 - 2:13:42 PM
Last modification on : Thursday, March 5, 2020 - 4:48:50 PM
Long-term archiving on: : Tuesday, October 23, 2012 - 4:15:58 PM

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Ting Peng, Erwan Kerrien, Marie-Odile Berger. A shape base framework to segmentation of tongue contours from MRI data. 35th IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2010, Mar 2010, Dallas, United States. pp.662 - 665, ⟨10.1109/ICASSP.2010.5495123⟩. ⟨inria-00442138⟩

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