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Speech Map: A Statistical Multimodal Atlas of 4D Tongue Motion During Speech from Tagged and Cine MR Images

机译:语音地图:4D舌运动的统计多模式图谱   来自Tagged和Cine mR图像的语音

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摘要

Quantitative measurement of functional and anatomical traits of 4D tonguemotion in the course of speech or other lingual behaviors remains a majorchallenge in scientific research and clinical applications. Here, we introducea statistical multimodal atlas of 4D tongue motion using healthy subjects thatenables a combined quantitative characterization of tongue motion in areference anatomical configuration. This atlas framework, termed speech map,combines cine- and tagged-MRI in order to provide both the anatomic referenceand motion information during speech. Our approach involves a series of stepsincluding (1) construction of a common reference anatomical configuration fromcine-MRI, (2) motion estimation from tagged-MRI, (3) transformation of themotion estimations to the reference anatomical configuration, (4) correction ofpotential time mismatch across subjects, and (5) computation of motionquantities such as Lagrangian strain. Using this framework, the anatomicconfiguration of the tongue appears motionless, while the motion fields andassociated strain measurements change over the time course of speech. Inaddition, to form a succinct representation of the high-dimensional and complexmotion fields, principal component analysis is carried out to characterize thecentral tendencies and variations of motion fields of our speech tasks. Ourproposed method provides a platform to quantitatively and objectively explainthe differences and variability of tongue motion by illuminating internalmotion and strain that have so far been intractable. The findings are used tounderstand how tongue function for speech is limited by abnormal internalmotion and strain in glossectomy patients.
机译:语音或其他语言行为过程中4D舌头运动的功能和解剖特征的定量测量仍然是科学研究和临床应用中的主要挑战。在这里,我们介绍了一个使用健康受试者的4D舌运动统计多模式图集,该图集使参考运动解剖结构中舌运动的组合定量表征成为可能。这种称为语音图谱的地图集框架将电影MRI和标记MRI结合在一起,以便在语音过程中提供解剖参考和运动信息。我们的方法涉及一系列步骤,其中包括(1)从电影MRI构建通用的参考解剖结构,(2)从标记MRI进行运动估计,(3)将运动估计转换为参考解剖结构,(4)校正潜在时间跨对象不匹配,以及(5)计算运动量,例如拉格朗日应变。使用该框架,舌头的解剖构造显得静止不动,而运动场和相关的应变测量随着语音的时间进程而变化。另外,为了形成高维复杂运动场的简洁表示,进行了主成分分析以表征我们语音任务的运动场的集中趋势和变化。我们提出的方法提供了一个平台,可以通过阐明迄今为止难以解决的内部运动和张力来客观,定量地解释舌头运动的差异和变异性。这些发现用于了解舌切除术患者舌头的语言功能如何受到异常内部运动和劳损的限制。

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