A four-dimensional motion field atlas of the tongue from tagged and cine magnetic resonance imaging

Representation of human tongue motion using three-dimensional vector fields over time can be used to better understand tongue function during speech, swallowing, and other lingual behaviors. To characterize the inter-subject variability of the tongue’s shape and motion of a population carrying out one of these functions it is desirable to build a statistical model of the four-dimensional (4D) tongue. In this paper, we propose a method to construct a spatio-temporal atlas of tongue motion using magnetic resonance (MR) images acquired from fourteen healthy human subjects. First, cine MR images revealing the anatomical features of the tongue are used to construct a 4D intensity image atlas. Second, tagged MR images acquired to capture internal motion are used to compute a dense motion field at each time frame using a phase-based motion tracking method. Third, motion fields from each subject are pulled back to the cine atlas space using the deformation fields computed during the cine atlas construction. Finally, a spatio-temporal motion field atlas is created to show a sequence of mean motion fields and their inter-subject variation. The quality of the atlas was evaluated by deforming cine images in the atlas space. Comparison between deformed and original cine images showed high correspondence. The proposed method provides a quantitative representation to observe the commonality and variability of the tongue motion field for the first time, and shows potential in evaluation of common properties such as strains and other tensors based on motion fields.

[1]  Jerry L. Prince,et al.  Motion estimation from tagged MR image sequences , 1992, IEEE Trans. Medical Imaging.

[2]  Jerry L Prince,et al.  Cardiac motion tracking using CINE harmonic phase (HARP) magnetic resonance imaging , 1999, Magnetic resonance in medicine.

[3]  Jerry L. Prince,et al.  Imaging heart motion using harmonic phase MRI , 2000, IEEE Transactions on Medical Imaging.

[4]  Jerry L Prince,et al.  Measuring tongue motion from tagged cine-MRI using harmonic phase (HARP) processing. , 2007, The Journal of the Acoustical Society of America.

[5]  Heinz Handels,et al.  Statistical Modeling of 4D Respiratory Lung Motion Using Diffeomorphic Image Registration , 2011, IEEE Transactions on Medical Imaging.

[6]  Jerry L. Prince,et al.  Reconstruction of High-Resolution Tongue Volumes From MRI , 2012, IEEE Transactions on Biomedical Engineering.

[7]  Jerry L. Prince,et al.  Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images , 2016, RAMBO+HVSMR@MICCAI.

[8]  Jonghye Woo,et al.  Analysis of 3-D Tongue Motion From Tagged and Cine Magnetic Resonance Images. , 2016, Journal of speech, language, and hearing research : JSLHR.

[9]  Jerry L. Prince,et al.  Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI , 2018, Medical Imaging.

[10]  Jerry L. Prince,et al.  A spatio-temporal atlas and statistical model of the tongue during speech from cine-MRI , 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

[11]  Jerry L. Prince,et al.  Speech Map: a statistical multimodal atlas of 4D tongue motion during speech from tagged and cine MR images , 2017, Comput. methods Biomech. Biomed. Eng. Imaging Vis..