• DocumentCode
    2184578
  • 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
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    589
  • Lastpage
    592
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7584-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2002.1029326
  • Filename
    1029326