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

**Authors:** Jonghye Woo, Fangxu Xing, Maureen Stone, Jordan Green, Timothy G., Reese, Thomas J. Brady, Van J. Wedeen, Jerry L. Prince, and Georges El Fakhri

arXiv: 1701.06708 · 2018-09-18

## TL;DR

This paper introduces Speech Map, a statistical multimodal atlas combining cine- and tagged-MRI to quantitatively analyze 4D tongue motion during speech, aiding understanding of normal and abnormal tongue function.

## Contribution

The novel Speech Map framework integrates multimodal MRI data to provide a comprehensive quantitative analysis of tongue motion during speech.

## Key findings

- Provides a reference anatomical configuration for tongue motion analysis
- Quantifies tongue motion and strain during speech tasks
- Helps understand limitations in tongue function due to abnormal motion

## Abstract

Quantitative measurement of functional and anatomical traits of 4D tongue motion in the course of speech or other lingual behaviors remains a major challenge in scientific research and clinical applications. Here, we introduce a statistical multimodal atlas of 4D tongue motion using healthy subjects, which enables a combined quantitative characterization of tongue motion in a reference anatomical configuration. This atlas framework, termed Speech Map, combines cine- and tagged-MRI in order to provide both the anatomic reference and motion information during speech. Our approach involves a series of steps including (1) construction of a common reference anatomical configuration from cine-MRI, (2) motion estimation from tagged-MRI, (3) transformation of the motion estimations to the reference anatomical configuration, and (4) computation of motion quantities such as Lagrangian strain. Using this framework, the anatomic configuration of the tongue appears motionless, while the motion fields and associated strain measurements change over the time course of speech. In addition, to form a succinct representation of the high-dimensional and complex motion fields, principal component analysis is carried out to characterize the central tendencies and variations of motion fields of our speech tasks. Our proposed method provides a platform to quantitatively and objectively explain the differences and variability of tongue motion by illuminating internal motion and strain that have so far been intractable. The findings are used to understand how tongue function for speech is limited by abnormal internal motion and strain in glossectomy patients.

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1701.06708/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/1701.06708/full.md

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Source: https://tomesphere.com/paper/1701.06708