Title :
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
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;
Conference_Titel :
Bioengineering Conference, 1990., Proceedings of the 1990 Sixteenth Annual Northeast
Conference_Location :
State College, PA
DOI :
10.1109/NEBC.1990.66277
