%0 Journal Article
	%A María S. Avila-García and  John N. Carter and  Robert I. Damper
	%D 2007
	%J International Journal of Medical and Health Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 2, 2007
	%T Extracting Tongue Shape Dynamics from Magnetic Resonance Image Sequences 
	%U https://publications.waset.org/pdf/9680
	%V 2
	%X An important problem in speech research is the automatic extraction of information about the shape and dimensions of the vocal tract during real-time speech production. We have previously developed Southampton dynamic magnetic resonance imaging (SDMRI) as an approach to the solution of this problem.However, the SDMRI images are very noisy so that shape extraction is a major challenge. In this paper, we address the problem of tongue shape extraction, which poses difficulties because this is a highly deforming non-parametric shape. We show that combining active shape models with the dynamic Hough transform allows the tongue shape to be reliably tracked in the image sequence.

	%P 89 - 92