Doppler spectral estimation using time-frequency distributions

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 46, Issue 3, 1999, Pages 595-608

  Forsberg, Flemming ^a   Oung, Harry ^a   Needleman, Laurence ^a  

^a THOMAS JEFFERSON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; COMPUTER SIMULATION; DOPPLER EFFECT; FREQUENCIES; HEMODYNAMICS; PROBABILITY DISTRIBUTIONS; PULSATILE FLOW; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; ULTRASONIC TRANSDUCERS;

ADAPTIVE CONSTANT Q DISTRIBUTION; CHOI-WILLIAMS DISTRIBUTION; DOPPLER ULTRASOUND; SMOOTHED PSEUDO WIGNER DISTRIBUTION; TIME FREQUENCY DISTRIBUTION;

ULTRASONICS;

EID: 0032633592     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/58.764846     Document Type: Article

References (26)

1. D. H. Evans, W. N. McDicken, R. Skidmore, and J. P. Woodcock, Doppier Ultrasound: Physics, Instrumentation, and Clinical Applications. Chichester: Wiley, 1989.
2. L. Y. L. Mo and R. S. C. Cobbold, A stochastic irodel of the backscattered Doppler ultrasound from blood. IEEE Trans. Biomcd. Eng., vol. 33, pp. 20-27, 1986.
3. S. M. Kay and S. L. Marple. Jr., Spectrum analysis-a modern perspective, Proc. IEEE, vol. 69, pp. 1380-1419, 1981.
4. L. Cohen, Time-frequency distributions-a review,' Proc. IEEE, vol. 77, pp. 941-981, 1989.
5. F. Hlawatsch, Duality and classification of bilinea' timefrequency signal representations, IEEE Trans. Signal Processing, vol. 39, pp. 1564-1574, 1991.
6. F. Hlawatsch and G. F. Bourdeaux-Bartels, Linear and quadratic time-frequency signal representations,'1 IEEE Signal Processing Mag., pp. 21-67, 1992.
7. R. I. Kitney and H. Talhami, The zoom Wigncr transform and its application to analysis of blood velocity wavefoims, J. Theor. Biol., vol. 129, pp. 395-409, 1987.
8. Z. Guo, L.-G. Durand, and H. C. Lee, Comparison of timefrequency distributions for analysis of simulated Doppltr ultrasound signals of the femoral artery, IEEE Trans. Bwmed. Eng., vol. 41, pp. 332-342, 1994.
9. _, The time-frequency distributions of nonstationarj signals based on a Bessel kernel, IEEE Trans. Signal Process'ng, vol. 42, pp. 1700-1707, 1994.
10. J. C. S. Cardoso, M. G. Ruano, and P. J. Fish, Nonstf.tionary broadening reduction in pulsed Doppler spectrum measu rements using time-frequencv estimators, IEEE Trans. Biomei. Enq., vol. 43, pp. 1176-1186, 1996.
11. A. Zeira, E. M. Zcira, and S. K. Holland, Pseudo-Wigner distribution for analysis of pulsed Doppler ultrasound. IEEI1 Trans. Ultrason., Ferroelect., Freq. Contr., vol. 41, pp. 346-35!!, 1994.
12. H. Oung and F. Forsberg, An adaptive constant-Q technique for Doppler spectral estimation. Ultrason. Imat/iny. vcl. 17, p. 72, 1995 (Abstr.).
13. _, ''Theory and applications of adaptive constant-Q distributions, rKKK Trans. Signal Processing, vol. 46, pp. 2616-2625, 1998.
14. L. Fan and D. H. Evans, Extracting instantaneous mean frequency information from Doppler signals using the Wigner distribution function, Ultrason. Med. Biol., vol. 2Ü, pp. <29-443, 1994.
15. K. Kaluzynski, Selection of spectral analysis method for the assessment of velocity distribution based on the spectrE.1 distribution of ultrasonic Doppler signals, Med. Biol. Eng. Comput., vol. 27, pp. 463-469, 1989.
16. H. Choi and W. J. Williams, Improved time-frequency distribution of multicomponent signals using exponential kernels, IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. £.62-871, 1989.
17. L. Mandel. Interpretation of instantaneous frequency, Amer. J. Phys., vol. 42, pp. 840-846, 1974.
18. A. Kasai, K. Namekawa, A. Koyano, and R. Omoto, Raal-time two-dimensional blood flow imaging using an autocoi relation technique, IEEE Trans. Sonics Ultrason., vol. SU-32, pp. 458464, 1985.
19. H. Oung and F. Forsberg, Doppler ultrasound simulation model for pulsatile flow with nonaxial components, Ultrason, imaging, vol. 18, pp. 157-172, 1996.
20. V. Hoggs and J. Ledolter, Engineering Statistics. London: MacMillan, 1987.
21. E. J. Halpern, L. Needleman, T. L. Nack, and S. A. East, Renal artery stenosis: Should we study the main renal artery or segmental vessels?, Radiology, vol. 195, pp. 799-804, 1995.
22. A. T. Stavros, S. H. Parker, W. F. Yakes, A. E. Chantelois, B. J. Burke, P. R. Meyers, and J. J. Schenck, Segmental stenosis of the renal artery: Pattern recognition of tardus anc parvus abnormalities with duplex sonography, Radiology, vol. 184, pp. 487-492, 1992.
23. |23] F. Forsberg and H. Oung, Comparison of time-frequency distributions for Doppler spectral estimation. Proc. IEEE Ultrason. Symp., 1995, pp. 1519-1522.
24. L. Y. L. Mo and R. S. C. Cobbold, Speckle in continuous wave Doppler ultrasound spectra: A simulation study, lEEfl Trans. Ultrason., Ferroelect., Freq. Contr., vol. 33, pp. 747-753, 1980.
25. R. G. Baraniuk and D. L. Jones, Signal-dependent timefrequency analysis using a radially Gaussian kernel, Signal Processing, vol. 32, pp. 263-284, 1993.
26. D. L. Jones and R. G. Baraniuk, An adaptive optimal-kernel time-frequency representation, IEEE Trans. Signal Processing, vol. 43, pp. 2361-2371, 1995.