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Abstract #3857

High frame rate vocal tract MRI using compressed sensing on randomly sampled Cartesian spoiled fast gradient echo

Pierre-André Vuissoz1,2, Benjamin Elie3, Freddy Odille2,4, and Yves Laprie3

1IADI, Université de Lorraine, Nancy, France, 2U947, INSERM, Nancy, France, 3LORIA, INRIA/CNRS/Université de Lorraine, Nancy, France, 4CIC-IT 1433, CHRU Nancy, Nancy, France

MRI becomes an important tool in the study of speech, in particular in the understanding of articulatory gestures. Distributed Compressed Sensing and Projection Onto Convex Sets are used to reconstruct dynamic sequences of vocal tract images at 33 frames per second with a spatial resolution enabling the extraction of vocal tract contours. 15 seconds long, spoiled gradient echo sequence acquisitions with pseudo random Cartesian sampling were recorded while subjects were repeating sentences. 76 sentences were recorded, representing the majority of the French phonemes. High frame rate dynamic vocal tract MRI will enable the study of coarticulation in French.

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