Efficient and Effective Extraction of Vocal Fold Vibratory Patterns from High-Speed Digital Imaging

Journal of Voice

Volumn 24, Issue 1, 2010, Pages 21-29

  Zhang, Yu ^a   Bieging, Erik ^a   Tsui, Henry ^a   Jiang, Jack J ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Automatic image processing; Canny image edge detection; High speed digital imaging; Lagrange interpolation; Vocal folds

Indexed keywords

ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIGITAL IMAGING; DOG; GLOTTIS; NONHUMAN; PERFORMANCE MEASUREMENT SYSTEM; VOCAL CORD;

ALGORITHMS; ANIMALS; AUTOMATION; DOGS; GLOTTIS; LARYNX; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS; VIBRATION; VIDEO RECORDING; VOCAL CORDS;

EID: 72749124951     PISSN: 08921997     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jvoice.2008.03.003     Document Type: Article

References (30)

1. Svec J.G., and Schutte H.K. Videokymography: high speed line scanning of vocal fold vibration. J Voice 10 (1996) 201-205
2. Yan Y., Damrose E., and Bless D. Functional analysis of voice using simultaneous high-speed imaging and acoustic recordings. J Voice 21 (2007) 604-616
3. Wittenberg L., Tigges M., Mergell P., and Eysholdt U. Functional imaging of vocal fold vibration: digital multislice high speed kymography. J Voice 14 (2000) 422-442
4. Baken R.J. Clinical Measurement of Speech and Voice (2000), Singular, San Diego, CA
5. Hirano M., and Bless D. Videostroboscopic Examination of the Larynx (1993), Singular, San Diego, CA
6. Yan Y.L., Chen X., and Bless D. Automatic Tracing of vocal-fold motion from high-speed digital images. IEEE Trans Biomed Eng 53 (2006) 1394-1400
7. Westphal L.C., and Childers D.G. Representation of glottal shape data for signal processing. IEEE Trans Acoust 31 (1983) 766-769
8. Hong K.H., Kim H.K., and Niimi S. Laryngeal gestures during stop production using high speed digital images. J Voice 16 (2002) 207-214
9. Yan Y., Ahmad K., Kunduk M., and Bless D. Analysis of vocal fold vibrations from high speed laryngeal images using a Hilbert transform based methodology. J Voice 19/2 (2005) 161-175
10. Wittenberg T., Moser M., Tigges M., and Eysholdt U. Recording, processing, and analysis of digital high-speed sequences in glottography. Mach Vis Applicat 8 (1995) 399-404
11. Jiang J.J., Yumoto E., Lin S.J., Kadota Y., Kurokawa H., and Hanson D.G. Quantitative measurement of mucosal wave by high-speed photography in excised larynges. Ann Otol Rhinol Laryngol 107 (1998) 98-103
12. Saadah A.K., Galatsanos N.P., Bless D., and Ramos C.A. Deformation analysis of the vocal folds from videostroboscopic image sequences of the larynx. J Acoust Soc Am 103 (1998) 3627-3641
13. Marendic B., Galatsanos N., and Bless D. A new active contour algorithm for tracking vocal folds. Proc IEEE Int Conf Image Process 1 (2001) 397-400
14. Lohscheller J., Dollinger M., Schuster M., Schwarz R., Eysholdt U., and Hoppe U. Quantitative investigation of the vibratory pattern of the substitute voice generator. IEEE Trans Biomed Eng 51 (2004) 1394-1400
15. Lohscheller J., Toy H., Rosanowski F., Eyesholdt U., and Dollinger M. Clinically evaluated procedure for the reconstruction of vocal fold vibrations from endoscopic digital high-speed videos. Med Image Analysis 11 (2007) 400-413
16. Zhang Y., and Jiang J.J. Spatiotemporal chaos in excised larynx vibrations. Phys Rev E 72 (2005) 35201-35204
17. Schwarz R., Hoppe U., Schuster M., Wurzbacher T., Eysholdt U., and Lohscheller J. Classification of unilateral vocal fold paralysis by endoscopic digital high-speed recordings and inversion of a biomechanical model. IEEE Trans Biomed Eng 53 (2006) 1099-1108
18. Tao C., Zhang Y., and Jiang J.J. Extracting physiologically relevant parameters of vocal folds from high-speed video image series. IEEE Trans Biomed Eng 54 (2007) 794-801
19. Van den Berg J., and Tan T.S. Results of experiments with human larynxes. Pract Oto-Rhino-Laryngologica 21 (1959) 425-450
20. Jiang J.J., Zhang Y., and Ford C.N. Nonlinear dynamics of phonations in excised larynx experiments. J Acoust Soc Am 114 (2003) 2198-2205
21. Jeffreys H., and Jeffreys B.S. Lagrange's Interpolation Formula. Methods of Mathematical Physics. 3rd ed. (1988), Cambridge University Press, Cambridge, MA 260
22. Canny J. A computational approach to edge detection. IEEE Pattern Anal Machine Intell PAMI-8 (1986) 679-698
23. Bracewell R.N. The Fourier Transform and Its Applications. 3rd ed. (2000), McGraw-Hill, New York
24. Bocker W., Muller W.-U., and Streffer C. Comparison of different automatic threshold algorithms for image segmentation in microscope images. Proc SPIEInt Soc Opt Eng 2564 (1995) 230-241
25. Kass M., Witkin A., and Terzopoulos D. Snakes: active contour models. Int J Comput Vision 1 (1988) 321-331
26. Xu C., and Prince J. Snakes, shapes, and gradient vector flow. IEEE Trans Image Process 7 (1998) 359-369
27. Xu J., Chutatape O., and Chew P. Automated optic disc boundary detection by modified active contour model. IEEE Trans Biomed Eng 54 (2007) 473-482
28. Shan Z.Y., Ji Q., Gajjar A., and Reddick W.E. A knowledge-guided active contour method of segmentation of cerebella on MR images of pediatric patients with medulloblastoma. J Mag Res Imag 21 (2005) 1-11
29. Yezzi A., Kichenassamy S., Kumar A., Olver R., and Tannenbaum A. A geometric snake model for segmentation of medical imagery. IEEE Trans Med Imag 16 (2006) 199-209
30. Kay Elemetrics Corp. High-Speed Video (HSV) Model 9700: Instruction Manual (2002), Kay Elemetrics Corporation, Lincoln Park, NJ