Autocorrelation Techniques in Color Flow Imaging: Signal Model and Statistical Properties of the Autocorrelation Estimates

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 41, Issue 5, 1994, Pages 604-612

  Torp, Hans ^a   Kristoffersen, Kjell ^b   Angelsen, Bjørn A J ^a  

^a Medical Technology Centre   (Norway)

^b Vingmend Sound Research Department ^*  (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; CORRELATION METHODS; FLOW VISUALIZATION; IMAGING SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SIGNAL THEORY; STATISTICAL METHODS; ULTRASONICS;

AUTOCORRELATION; AUTOCORRELATION ESTIMATES; COLOR FLOW IMAGING; SIGNAL MODEL; STATISTICAL PROPERTIES;

CORRELATION THEORY;

EID: 0028500791     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/58.308495     Document Type: Article

References (20)

1. D. S. Zrnié “Spectral moment estimates from correlated pulsed pair,” IEEE Trans. Aerosp. Electron., vol. AES-13, pp. 344–354, 1977.
2. C. Kasai, K. Namekawa, A. Koyano, and R. Omoto “Real-time two- dimensional blood flow imaging using an autocorrelation technique,” IEEE Trans. Sonics Ultrason., vol. SU-32, pp. 458–464, 1985.
3. O. Bonnefous and P. Pesque, “Time domain formulation of pulse- doppler ultrasound and blood velocity estimation by cross-correlation,” Ultrason. Imaging, vol. 8. pp. 73–85, 1986.
4. X. Ferrara and X. Algazi, “A new wideband spread target maximum likelihood estimator for blood velocity estimation-Part I : Theory,” IEEE Trans. Ultrason., Ferroelec. Freq.Contr. vol. 38, pp. 1-26 1991.
5. W. R. Brody and J. D. Meindl “Theoretical analysis of the CW Doppler ultrasonic flowmeter,” IEEE Trans. Biomed. Eng., vol. BME-21, pp. 183–192, 1974.
6. B. A. J. Angelsen and K. Kristoffersen, “On ultrasonic MTI measurement of velocity profiles in blood flow,” IEEE Trans. Biomed. Eng., vol. BME-26, pp. 665–671, 1979.
7. V. L. Newhouse, P. J. Bendick and L. W. Varner, “Analysis of transit time effects on Doppler flow measurements,” IEEE Trans. Biomed. Eng., vol. BME-23. pp. 381–387, 1976.
8. L. Y. L. Mo and R. S. C. Cobbold. “A unified approach to modeling the backscattered doppler ultrasound from blood,” IEEE Trans. Biomed. Eng., vol. 39, pp. 450–461, 1992.
9. X. Ferrara and X. Algazi, “The effect of frequency dependent scattering and attenuation on the estimation of blood velocity using ultrasound,” IEEE Trans. Ultrason., Ferroelec., Freq. Contr., vol. 39, pp. 754–767, 1992.
10. B. A. J. Angelsen, “A theoretical study of the scattering of ultrasound from blood,” IEEE Trans. Biomed. Eng., vol. BME-27, pp. 61–67. 1980.
11. M. A. Fink and J. F. Cardoso, “Diffraction effects in pulse-echo measurement,” IEEE Trans. Sonics Ultrason., vol. SU-31, pp. 313–329, 1984.
12. P. M. Morse and K. U. Ingard, Theoretical Acoustics. New York: McGraw-Hill, 1968.
13. K. Kristoffersen, “Optimal receiver filtering in pulsed doppler ultrasound blood velocity measurement,” IEEE Trans. Ultrason., Ferroelec., Freq. Contr., vol. UFFC-33., pp. 51–58, 1986.
14. H. L. van Trees, Detection, Estimation, and Modulation Theory, Part III. New York: Wiley, 1971.
15. K. Miller, Complex Stocastic Processes. Reading, MA: Addison-Wesley, 1974.
16. K. Kristoffersen, “Time domain estimation of the center frequency and spread of doppler spectra in doppler ultrasound,” IEEE Trans. Ultrason., Ferroelec., Freq. Contr., vol. 35, pp. 484–497, 1988.
17. P. R. Mahapatra and D. S. Zrnic, “Practical algorithms for mean velocity estimation in pulsed doppler weather radars using a small numbers of samples,” IEEE Trans. Geosci. and Remote Sensing, vol. GE-21, pp. 491–501, 1983.
18. D. S. Zrnic, “Spectrum width estimates for weather echoes,” IEEE Trans. Aerosp. Electron., vol. AES-15, pp. 613–619, 1979.
19. G. Jenkins and D. Watts. “Spectral Analysis and its Applications,” Holden-Day. 1968.
20. J. L. Doob, Stochastic Processes. New York: Wiley, 1953.