Spatiotemporal-atlas-based dynamic speech imaging
| Autor: | Jonghye Woo, Zhi-Pei Liang, Bradley P. Sutton, Maojing Fu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Atlas (topology) 02 engineering and technology Frame rate Motion (physics) 030218 nuclear medicine & medical imaging Constraint (information theory) 03 medical and health sciences 0302 clinical medicine Dynamic contrast-enhanced MRI 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Image resolution Vocal tract |
| Zdroj: | Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2216528 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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