Title :
Eigenfolds: a new approach for analysis of vibrating vocal folds
Author :
Li, Liu ; Galatsanos, Nikolas P. ; Bless, Diane
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
In this paper we present a new approach for analysis and visualization of the vibration patterns of vocal folds from high-speed digital images of the larynx. This approach is based on registration using the vocal fold medial axis and a singular value decomposition (SVD) of the resulting time sequence of amplitude measurements of the vocal folds vibrations. The resulting components of the SVD separate the spatial and temporal behavior of the vibration pattern and allow accurate visualization of important features of the vibration patterns. Examples are given using both real and synthetic high-speed laryngeal sequences where the advantages of the proposed approach are demonstrated.
Keywords :
biomechanics; image sequences; medical image processing; singular value decomposition; speech; vibration measurement; accurate visualization; clinical investigation; high-speed digital images; human voice abnormalities; important features; larynx; synthetic high-speed laryngeal sequences; vocal fold medial axis; vocal fold medial axis registration; Digital images; Eigenvalues and eigenfunctions; Image analysis; Image sequence analysis; Pattern analysis; Singular value decomposition; Surgery; Time measurement; Vibration measurement; Visualization;
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
DOI :
10.1109/ISBI.2002.1029326