Spatiotemporal-atlas-based dynamic speech imaging

Maojing Fu; Jonghye Woo; Zhi-Pei Liang; Bradley P. Sutton

doi:10.1117/12.2216528

29 March 2016 Spatiotemporal-atlas-based dynamic speech imaging

Maojing Fu, Jonghye Woo, Zhi-Pei Liang, Bradley P. Sutton

Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 978804 (2016) https://doi.org/10.1117/12.2216528
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Dynamic magnetic resonance imaging (DS-MRI) has been recognized as a promising method for visualizing articulatory motion of speech in scientific research and clinical applications. However, characterization of the gestural and acoustical properties of the vocal tract remains a challenging task for DS-MRI because it requires: 1) reconstructing high-quality spatiotemporal images by incorporating stronger prior knowledge; and 2) quantitatively interpreting the reconstructed images that contain great motion variability. This work presents a novel imaging method that simultaneously meets both requirements by integrating a spatiotemporal atlas into a Partial Separability (PS) model-based imaging framework. Through the use of an atlas-driven sparsity constraint, this method is capable of capturing high-quality articulatory dynamics at an imaging speed of 102 frames per second and a spatial resolution of 2.2 × 2.2 mm2. Moreover, the proposed method enables quantitative characterization of variability of speech motion, compared to the generic motion pattern across all subjects, through the spatial residual components.

Citation Download Citation

Maojing Fu, Jonghye Woo, Zhi-Pei Liang, and Bradley P. Sutton "Spatiotemporal-atlas-based dynamic speech imaging", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 978804 (29 March 2016); https://doi.org/10.1117/12.2216528

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