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.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Jonghye Woo,Prince JL,Stone M,Fangxu Xing,Gomez AD,Green JR,Hartnick CJ,Brady TJ,Reese TG,Wedeen VJ,El Fakhri Gdoi
10.1109/TMI.2018.2870939subject
Has Abstractpub_date
2019-03-01 00:00:00pages
730-740issue
3eissn
0278-0062issn
1558-254Xjournal_volume
38pub_type
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