A sparse non-negative matrix factorization framework for identifying functional units of tongue behavior from MRI

Jonghye Woo, Jerry L. Prince, Maureen Stone, Fangxu Xing, Arnold D. Gomez, Jordan R. Green, Christopher J. Hartnick, Thomas J. Brady, Timothy G. Reese, Van J. Wedeen, Georges El Fakhri

Research output: Contribution to journalArticle

Abstract

Muscle coordination patterns of lingual behaviors are synergies generated by deforming local muscle groups in a variety of ways. Functional units are functional muscle groups of local structural elements within the tongue that compress, expand, and move in a cohesive and consistent manner. Identifying the functional units using tagged-magnetic resonance imaging (MRI) sheds light on the mechanisms of normal and pathological muscle coordination patterns, yielding improvement in surgical planning, treatment, or rehabilitation procedures. In this paper, to mine this information, we propose a matrix factorization and probabilistic graphical model framework to produce building blocks and their associated weighting map using motion quantities extracted from tagged-MRI. Our tagged-MRI imaging and accurate voxel-level tracking provide previously unavailable internal tongue motion patterns, thus revealing the inner workings of the tongue during speech or other lingual behaviors. We then employ spectral clustering on the weighting map to identify the cohesive regions defined by the tongue motion that may involve multiple or undocumented regions. To evaluate our method, we perform a series of experiments. We first use two-dimensional images and synthetic data to demonstrate the accuracy of our method. We then use three-dimensional synthetic and in vivo tongue motion data using protrusion and simple speech tasks to identify subject-specific and data-driven functional units of the tongue in localized regions.

Original languageEnglish (US)
Article number8467354
Pages (from-to)730-740
Number of pages11
JournalIEEE transactions on medical imaging
Volume38
Issue number3
DOIs
StatePublished - Mar 2019

Keywords

  • MRI
  • Tongue motion
  • functional units
  • non-negative matrix factorization
  • sparsity
  • speech

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A sparse non-negative matrix factorization framework for identifying functional units of tongue behavior from MRI'. Together they form a unique fingerprint.

  • Cite this

    Woo, J., Prince, J. L., Stone, M., Xing, F., Gomez, A. D., Green, J. R., Hartnick, C. J., Brady, T. J., Reese, T. G., Wedeen, V. J., & El Fakhri, G. (2019). A sparse non-negative matrix factorization framework for identifying functional units of tongue behavior from MRI. IEEE transactions on medical imaging, 38(3), 730-740. [8467354]. https://doi.org/10.1109/TMI.2018.2870939