Pseudo-Wigner distribution for analysis of pulsed Doppler ultrasound

Zeira, A.; Zeira, E.M.; Holland, Scott K.

doi:10.1109/58.285469

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…The spectrogram is commonly used as a tool for display and analysis of echoes scattered from the blood. Actually, spectrogram is a time-frequency representation of Doppler spectrum, which maps a one-dimensional signal of time into a two-dimensional function of time and frequency [35]. In a spectrogram, the abscissa represents time, and the ordinate represents velocity.…”

Section: B the Relationship Between Cross Sectional Area And Spectromentioning

confidence: 99%

A New Algorithm for Blood Flow Measurement Based on the Doppler Flow Spectrogram

Peng

Han

et al. 2019

IEEE Access

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The blood flow is traditionally obtained by multiplying the cross sectional area of the blood vessel and the average blood speed in the cross section, or is given by the integral of the product of the cross section and blood velocity of each element. However, both methods are affected greatly by the measurement precision of the area and velocity. A new algorithm, which is based on the Doppler blood flow spectrogram, is proposed to measure the blood flow in this paper. In the algorithm, the blood flow is calculated according to the double integral of a Doppler blood flow spectrogram. To verify the feasibility of the proposed algorithm, experiments have been performed on the Doppler blood-mimicking system KS205D−1 using the SonixTouch ultrasonic system. In addition, linear-regression analysis is carried out to observe the correlation factors between the experimental values and real values of different flow rates. Experimental results show that the calculated values and real values correlate significantly (r > 0.969, P < 0.0000001). Experimental results both on males and females also verified the proposed algorithm (r > 0.915, P < 0.00053). Hence the proposed algorithm is proven effective for relative mean blood flow measurement. Due to the special structure of the human brain, it is difficult to measure the cross sectional area of blood vessel with ultrasound imaging. In this algorithm, there is no need to measure the cross sectional area of the blood vessel. Therefore, the proposed algorithm has the potential to be a new method for clinical ultrasonic blood flow measurement, especially cerebral blood flow measurement. INDEX TERMS Blood flow measurement, Doppler spectrogram, linear-regression analysis, Doppler blood-mimicking system.

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Section: B the Relationship Between Cross Sectional Area And Spectromentioning

confidence: 99%

A New Algorithm for Blood Flow Measurement Based on the Doppler Flow Spectrogram

Peng

Han

et al. 2019

IEEE Access

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Performance of short-time spectral parametric methods for reducing the variance of the Doppler ultrasound mean instantaneous frequency estimation

Sava¹,

Durand

Cloutier

1999

Med. Biol. Eng. Comput.

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To achieve an accurate estimation of the instantaneous turbulent velocity fluctuations downstream of prosthetic heart valves in vivo, the variability of the spectral method used to measure the mean frequency shift of the Doppler signal (i.e. the Doppler velocity) should be minimised. This paper investigates the performance of various short-time spectral parametric methods such as the short-time Fourier transform, autoregressive modelling based on two different approaches, autoregressive moving average modelling based on the Steiglitz-McBride method, and Prony's spectral method. A simulated Doppler signal was used to evaluate the performance of the above mentioned spectral methods and Gaussian noise was added to obtain a set of signals with various signal-to-noise ratios. Two different parameters were used to evaluate the performance of each method in terms of variability and accurate matching of the theoretical Doppler mean instantaneous frequency variation within the cardiac cycle. Results show that autoregressive modelling outperforms the other investigated spectral techniques for window lengths varying between 1 and 10 ms. Among the autoregressive algorithms implemented, it is shown that the maximum entropy method based on a block data processing technique gives the best results for a signal-to-noise ratio of 20 dB. However, at 10 and 0 dB, the Levinson-Durbin algorithm surpasses the performance of the maximum entropy method. It is expected that the intrinsic variance of the spectral methods can be an important source of error for the estimation of the turbulence intensity. The range of this error varies from 0.38% to 24% depending on the parameters of the spectral method and the signal-to-noise ratio.

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Comparison of Doppler signal analysis techniques for velocity waveform, turbulence and vortex measurement: A simulation study

Wang

Fish

1996

Ultrasound in Medicine & Biology

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Pseudo-Wigner distribution for analysis of pulsed Doppler ultrasound

Cited by 7 publications

References 9 publications

A New Algorithm for Blood Flow Measurement Based on the Doppler Flow Spectrogram

A New Algorithm for Blood Flow Measurement Based on the Doppler Flow Spectrogram

Performance of short-time spectral parametric methods for reducing the variance of the Doppler ultrasound mean instantaneous frequency estimation

Comparison of Doppler signal analysis techniques for velocity waveform, turbulence and vortex measurement: A simulation study

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