Wideband cross correlation model method for blood velocity estimation

Author

Sturikova, E. ; Hoeks, A.P.G. ; Luesink, R.

Author_Institution

Dept. of Math., Limburg Univ., Maastricht, Netherlands

Volume

2

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

865

Abstract

This paper introduces a new velocity estimator that has been derived using the concept formulated by Hoeks et al, [1993], the so called Cross Correlation Model (CCM) method. It is based on the a priori knowledge of the form of the spectrum of the radio frequency (RF) signal. The previous derivation was done for narrowband signals, whereas here it is extended to wideband signals. The evaluation by means of computer simulations under poor signal-to-noise-ratio shows the excellent performance of this new estimator

Keywords

Doppler measurement; acoustic correlation; biomedical ultrasonics; blood flow measurement; medical signal processing; signal sampling; spectral analysis; Gaussian curve; Nyquist criterion; RF signal spectrum; a priori knowledge; blood velocity estimation; computer simulations; poor signal-to-noise-ratio; power spectrum density; pulsed wave Doppler ultrasound; sampling frequency; wideband cross correlation model method; Autocorrelation; Bandwidth; Blood; Hardware; Narrowband; Radio frequency; Sampling methods; Scattering; Ultrasonic imaging; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652014

Filename

652014