Modern spectral analysis techniques for pulsed Doppler ultrasound velocity measurements

Author

David, J.-Y. ; Jones, S.A. ; Giddens, D.P.

Author_Institution

Sch. of Mech. & Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1990

fDate

26-27 Mar 1990

Firstpage

35

Lastpage

36

Abstract

Fast Fourier transform (FFT), the maximum likelihood method (MLM), and autoregressive (AR) modeling with the Burg and modified covariance algorithms are compared for their suitability in deriving accurate blood flow velocity estimations from pulsed Doppler ultrasound measurements. Optimal parameter values are defined for each method, and the effects of signal-to-noise ratio (SNR) and signal bandwidth are investigated. It is shown that the MLM leads to the most robust velocity estimator

Keywords

Doppler effect; biomedical measurement; biomedical ultrasonics; haemodynamics; ultrasonic velocity measurement; Burg algorithm; autoregressive modeling; fast Fourier transform; maximum likelihood method; modified covariance algorithms; optimal parameter values; pulsed Doppler ultrasound velocity measurements; signal bandwidth; signal-to-noise ratio; spectral analysis techniques; Blood flow; Fast Fourier transforms; Fluid flow measurement; Maximum likelihood estimation; Pulse measurements; Signal to noise ratio; Spectral analysis; Ultrasonic imaging; Ultrasonic variables measurement; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1990., Proceedings of the 1990 Sixteenth Annual Northeast

Conference_Location

State College, PA

Type

conf

DOI

10.1109/NEBC.1990.66277

Filename

66277