THREE-DIMENSIONAL TONGUE MOTION IN SPEECH

言语中的三维舌头运动

• 批准号: 6261236
• 负责人: MAUREEN STONE
• 金额: $ 45.74万
• 依托单位: UNIVERSITY OF MARYLAND BALTIMORE
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-07-01 至 2006-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6261236
• 关键词: bioimaging /biomedical imaging; biomechanics; clinical research; human subject; image processing; magnetic resonance imaging; model design /development; physical model; speech; tongue

This project will visualize internal and surface 3D- tongue motion during speech based on ultrasound and tagged Cine- MRI data. The project will use kinematic, dynamic and geometric models to capture, manipulate, and reduce the dimensionality of the major patterns underlying tongue behavior during normal speech production. These normative data can then be compared with patient populations. Three projects will be executed. The first will reconstruct the movement of 3D tongue surfaces and volumes during speech. We have already determined a minimal, optimal set of slices for reconstructing 3D surface motion from 2D ultrasound slices. The proposed experiments will add to this work by reconstructing 3D motion of internal tissue points from tagged-MRI. The observed internal motion will allow us, for the first time, to complement EMG by inferring tongue muscle activity from MRI. The value of such data is twofold. First, visualization of a complex speech movement patterns allow us to identify and quantify underlying patterns of movement and shape. Second, the data are useful clinically for comparing normal and disordered speech patterns, and estimating the underlying musculature. The second project, which is related to the first, will classify tongue motion based on biologically important tongue surface features. Geometric shape modeling will be done on 3D tongue surface shapes and motions. Geometric models extract global and local motion features that reduce the dimensionality of 3D structures, and identify and classify underlying patterns. This will be particularly useful for determining group and individual subject behavior patterns, and removing noise. In order to test hypotheses of muscle-to-surface linkages, the third project will develop a family of 3D mechanical tongue models. We have already developed 2D (one slice over time) kinematic and dynamic models of tongue motion. Our kinematic models represent surface and internal deformation of the tongue and reflect its underlying physiology. These models can fill gaps in the reconstructed 3D motions (Aim 1) and will provide input and insight into the dynamic predictive models. Dynamic finite element models will link internal muscular activity to surface shape motion. The 3D models will be physiologically accurate and can be made more or less complex to suit the experimental condition.

该项目将根据超声和标记Cine-MRI数据在语音过程中可视化内部和表面3D-舌运动。 该项目将使用运动学，动态和几何模型来捕获，操纵和降低正常语音生产过程中舌头行为的主要模式的维度。 然后可以将这些规范性数据与患者群体进行比较。 将执行三个项目。 第一个将在语音期间重建3D舌表面和体积的运动。 我们已经确定了一套最小，最佳的切片集，用于从2D超声切片重建3D表面运动。 提出的实验将通过重建标记MRI内部组织点的3D运动来增加这项工作。 观察到的内部运动将使我们首次通过从MRI中推断舌肌活动来补充EMG。 此类数据的价值是双重的。 首先，复杂语音运动模式的可视化使我们能够识别和量化运动和形状的基本模式。其次，数据在临床上可用于比较正常和无序的语音模式，并估计潜在的肌肉组织。第二个项目与第一个项目有关，将根据生物学上重要的舌表面特征对舌头运动进行分类。 几何形状建模将在3D舌表面形状和运动上进行。 几何模型提取了降低3D结构的维度的全局和局部运动特征，并识别和分类基础模式。 这对于确定群体和个人主题行为模式以及消除噪声特别有用。为了测试肌肉到表面链接的假设，第三个项目将开发一个3D机械舌模型的家族。 我们已经开发了舌头运动的2D（随着时间的推移）运动模型和动态模型。 我们的运动学模型代表舌头的表面和内部变形，并反映其潜在的生理学。 这些模型可以填补重建的3D运动（AIM 1）中的空白，并将提供对动态预测模型的输入和见解。 动态有限元模型将将内部肌肉活动与表面形状运动联系起来。 3D模型在生理上是准确的，并且可以或多或少复杂以适合实验条件。