Paper
22 March 2019 Kymograph of continuous MRI images for analyzing speech articulations
Author Affiliations +
Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110491X (2019) https://doi.org/10.1117/12.2521519
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore
Abstract
Magnetic Resonance Imaging (MRI) was used for analyzing speech articulations. A synchronized sampling method, which is that a subject person repeats speaking a same pseudo word at a tempo by hearing click sounds, was used to enable capturing speech articulators' motion data from relatively slow imaging. For Japanese syllable sequences of /a-ei- u-e-o-a-o/, /ka-ke-ki-ku-ke-ko-ka-ko/, and /ga-ge-gi-gu-ge-go-ga-go/, positions and motions of speech articulators were compared for analyzing detailed differences of speech articulations depending on patterns of consonants and vowels. To analyze time series of narrowing positions of a vocal tract caused mainly by tongue motions, a kymograph method from MRI images is proposed. A thin slice is taken from MRI image in a vertical direction relative to a vocal tract. This thin sliced image has upper and lower boundaries of a vocal tract, that is, a hard or soft palate and an upper surface of a tongue. The same slices are taken from all frames and then they are put in a line in a sequence of time. This sequence of sliced image is looked like a kymograph. It will be a useful tool to observe time series of distance changes of one section of a vocal tract, caused by tongue motions.
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Makoto J. Hirayama and Sayoko Takano "Kymograph of continuous MRI images for analyzing speech articulations", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110491X (22 March 2019); https://doi.org/10.1117/12.2521519
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KEYWORDS
Magnetic resonance imaging

Tongue

Analytical research

Image analysis

Image processing

Motion analysis

Shape analysis

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