NDLI: Modern spectral analysis techniques for blood flow velocity and spectral measurements with pulsed Doppler ultrasound

Content Provider	IEEE Xplore Digital Library
Author	David, J.-Y. Jones, S.A. Giddens, D.P.
Copyright Year	1964
Abstract	Four spectral analysis techniques were applied to pulsed Doppler ultrasonic quadrature signals to compare the relative merits of each technique for estimation of flow velocity and Doppler spectra. The four techniques were (1) the fast Fourier transform method, (2) the maximum likelihood method, (3) the Burg autoregressive algorithm, and (4) the modified covariance approach to autoregressive modeling. Both simulated signals and signals obtained from an in vitro flow system were studied. Optimal parameter values (e.g. model orders) were determined for each method, and the effects of signal-to-noise ratio and signal bandwidth were investigated. The modern spectral analysis techniques were shown to be superior to Fourier techniques in most circumstances, provided the model order was chosen appropriately. Robustness considerations tended to recommend the maximum likelihood method for both velocity and spectral estimation. Despite the restrictions of steady laminar flow, the results provide important basic information concerning the applicability of modern spectral analysis techniques to Doppler ultrasonic evaluation of arterial disease.<>
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	8
File Size	755425
Starting Page	589
Ending Page	596
File Format	PDF
ISSN	00189294
Volume Number	38
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pulse measurements Spectral analysis Blood flow Fluid flow measurement Velocity measurement Ultrasonic variables measurement Ultrasonic imaging Maximum likelihood estimation Fast Fourier transforms In vitro
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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