MRI ANALYSIS OF 3D NORMAL AND POST-GLOSSECTOMY TONGUE MOTION IN SPEECH

被引:0
|
作者
Xing, Fangxu [1 ]
Murano, Emi Z. [2 ]
Lee, Junghoon [1 ,3 ]
Woo, Jonghye [1 ,4 ]
Stone, Maureen [4 ]
Prince, Jerry L. [1 ]
机构
[1] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
[2] Johns Hopkins Med Inst, JHU Sch Med, Dept Otolaryngol Head & Neck Surg, Baltimore, MD 21205 USA
[3] Johns Hopkins Med Inst, JHU Sch Med, Dept Radiat Oncol & Mol Radiat Sci, Baltimore, MD 21205 USA
[4] Univ Maryland, Sch Dentistry, Dept Neural & Pain Sci, Baltimore, MD 21201 USA
关键词
Tongue; motion; glossectomy; MRI; tagged; HARP; IDEA algorithm; PCA; HEART;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Measuring the internal muscular motion and deformation of the tongue during natural human speech is of high interest to head and neck surgeons and speech language pathologists. A pipeline for calculating 3D tongue motion from dynamic cine and tagged Magnetic Resonance (MR) images during speech has been developed. This paper presents the result of a complete analysis of eleven subjects' (seven normal controls and four glossectomy patients) global tongue motion during speech obtained through MR imaging and processed through the tongue motion analysis pipeline. The data is regularized into the same framework for comparison. A generalized two-step principal component analysis is used to show the major difference between patients' and controls' tongue motions. A test is performed to demonstrate the ability of this process to distinguish patient data from control data and to show the potential power of quantitative analysis that the tongue motion pipeline can achieve.
引用
收藏
页码:816 / 819
页数:4
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