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Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI
Author(s): Fangxu Xing; Jerry L. Prince; Maureen Stone; Timothy G. Reese; Nazem Atassi; Van J. Wedeen; Georges El Fakhri; Jonghye Woo
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Paper Abstract

Amyotrophic Lateral Sclerosis (ALS) is a neurological disease that causes death of neurons controlling muscle movements. Loss of speech and swallowing functions is a major impact due to degeneration of the tongue muscles. In speech studies using magnetic resonance (MR) techniques, diffusion tensor imaging (DTI) is used to capture internal tongue muscle fiber structures in three-dimensions (3D) in a non-invasive manner. Tagged magnetic resonance images (tMRI) are used to record tongue motion during speech. In this work, we aim to combine information obtained with both MR imaging techniques to compare the functionality characteristics of the tongue between normal and ALS subjects. We first extracted 3D motion of the tongue using tMRI from fourteen normal subjects in speech. The estimated motion sequences were then warped using diffeomorphic registration into the b0 spaces of the DTI data of two normal subjects and an ALS patient. We then constructed motion atlases by averaging all warped motion fields in each b0 space, and computed strain in the line of action along the muscle fiber directions provided by tractography. Strain in line with the fiber directions provides a quantitative map of the potential active region of the tongue during speech. Comparison between normal and ALS subjects explores the changing volume of compressing tongue tissues in speech facing the situation of muscle degradation. The proposed framework provides for the first time a dynamic map of contracting fibers in ALS speech patterns, and has the potential to provide more insight into the detrimental effects of ALS on speech.

Paper Details

Date Published: 2 March 2018
PDF: 9 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 1057411 (2 March 2018); doi: 10.1117/12.2293028
Show Author Affiliations
Fangxu Xing, Massachusetts General Hospital (United States)
Jerry L. Prince, Johns Hopkins Univ. (United States)
Maureen Stone, Univ. of Maryland School of Dentistry (United States)
Timothy G. Reese, Massachusetts General Hospital (United States)
Nazem Atassi, Massachusetts General Hospital (United States)
Van J. Wedeen, Massachusetts General Hospital (United States)
Georges El Fakhri, Massachusetts General Hospital (United States)
Jonghye Woo, Massachusetts General Hospital (United States)


Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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