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- W2185479937 abstract "The time-frequency distribution (TFD) of Doppler blood flow signals is usually obtained using the spectrogram, which requires signal stationarity and is known to produce large estimation variance. This paper examines four alternative, nonstationary spectral estima- tors: a smoothed Pseudo-Wigner distribution (SPWD), the Choi-Williams distribution (CWD), the Bessel distribu- tion (BD), and the novel, adaptive constant- distribution (AQD) for their applicability to Doppler ultrasound. A syn- thetic Doppler signal, simulating the nonaxial and pulsatile flow of the common carotid artery, was used for quantitative comparisons at dierent signal-to-noise-ratios (SNR) of 0, 10, 20, and 30 dB as well as noise free. The cross-correlation ( ) and the root-mean-square-error (RMSE) were calcu- lated after log-compression for each technique and SNR relative to the theoretical distribution. The AQD consis- tently had the lowest RMSE ( 53 7%) and the highest ( 0 889) of all the TFDs, irrespective of the SNR. The SPWD performed better than the spectrogram, which per- formed better than the BD and the CWD. Qualitative com- parisons were carried out using in vivo data acquired with a 10 MHz ultrasound cu transducer positioned around the distal aorta of a rabbit. In vivo, the AQD was considered best with respect to background noise and internal gray scale features; it was rated second (after the spectrogram) in depicting the spectral envelope. The AQD performed better as a Doppler spectral estimator than the traditional spectrogram and the other TFDs under the conditions stud- ied here." @default.
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- W2185479937 date "1999-01-01" @default.
- W2185479937 modified "2023-09-26" @default.
- W2185479937 title "Doppler Spectral Estimation Using" @default.
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