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Abstract #3742

Temporal Frame Alignment for Speech Atlas Construction Using High Speed Dynamic MRI

Fangxu Xing1, Riwei Jin2, Imani Gilbert3, Xiaofeng Liu1, Georges El Fakhri1, Jamie Perry3, Bradley Sutton2, and Jonghye Woo1
1Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Department of Bioengineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States, 3Department of Communication Sciences and Disorders, East Carolina University, Greenville, NC, United States

Visual assessment of articulatory motion of the vocal tract in speech has been drastically advanced by recent developments in high-speed real-time MRI. However, the variation of speaking rate among different subjects prevents quantitative analysis of data from a larger study group. We present a pipeline of methods that aligns audio and image data in the time domain and produces temporally matched image volumes for various subjects. Comparison of the cross-correlation score before and after time alignment showed an increased similarity between source and target image sequences, enabling production of preprocessed multi-subject data for the subsequent statistical atlas construction studies.

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