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Abstract #1083

Spatiotemporal atlas driven reconstruction of dynamic speech imaging

Riwei Jin1, Fangxu Xing2, Imani Gilbert3, Jamie Perry3, Jonghye Woo2, Ryan Shosted1, Zhi-Pei Liang1, and Brad Sutton1
1University of Illinois Urbana-Champaign, Champaign, IL, United States, 2Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States, 3East Carolina University, Greenville, NC, United States

Synopsis

Keywords: Image Reconstruction, Image Reconstruction, Atlas, speech imaging

Motivation: Individuals across a population typically exhibit similar articulatory movements when performing speech tasks with specific speech samples. From an imaging experiment, we are interested in representing how an individual’s speech behavior is different from the ‘standard’ motion, which assists the preoperative planning of velopharyngeal surgery.

Goal(s): We expected to visualize velopharyngeal variations between individual subjects and the average population.

Approach: We have integrated an atlas into a low-rank residual reconstruction framework to capture the distinctive motion variations unique to each subject.

Results: We demonstrated the ability of the method to visualize velopharyngeal variations as well as enhancing the quality of the reconstruction process.

Impact: By applying a spatio-temporal atlas-driven reconstruction method, we were able to visualize and analysis velopharyngeal variations between individuals and the average population which will specifically benefit the surgical planning of individual cleft palate patients.

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Keywords