Blood and wall signal simulator for Doppler ultrasound signal analysis algorithm development

Fish, P.J.; Bastos, Carlos A. C.; Vaz, Francisco

doi:10.1109/iembs.2001.1018869

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…The Doppler ultrasound blood flow signal with clutter components can be simulated based on physical models [18]. Here, the ultrasound transmitting frequency is 5 MHz, the sampling frequency is set at 12.8 kHz, the velocity of the sound is 1,540 m/s, the sampling volume contains whole blood vessel.…”

Section: Applications To Simulated Doppler Ultrasound Signalsmentioning

confidence: 99%

Doppler ultrasound wall removal based on the spatial correlation of wavelet coefficients

Jin

Wang

2007

Med Bio Eng Comput

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In medical Doppler ultrasound systems, a high-pass filter is commonly used to reject echoes from the vessel wall. However, this leads to the loss of the information from the low velocity blood flow. Here a spatially selective noise filtration algorithm cooperating with a threshold denoising based on wavelets coefficients is applied to estimate the wall clutter. Then the blood flow signal is extracted by subtracting the wall clutter from the mixed signal. Experiments on computer simulated signals with various clutter-to-blood power ratios indicate that this method achieves a lower mean relative error of spectrum than the high-pass filtering and other two previously published separation methods based on the recursive principle component analysis and the irregular sampling and iterative reconstruction, respectively. The method also performs well when applied to in vivo carotid signals. All results suggest that this approach can be implemented as a clutter rejection filter in Doppler ultrasound instruments.

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Section: Applications To Simulated Doppler Ultrasound Signalsmentioning

confidence: 99%

Doppler ultrasound wall removal based on the spatial correlation of wavelet coefficients

Jin

Wang

2007

Med Bio Eng Comput

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“…A computer simulation's model of the quadrature Doppler signals from wall and blood proposed by Fish et al [8] is used to simulate Doppler signals. According to this model, the combined Doppler signal is given by:…”

Section: Methodsmentioning

confidence: 99%

Estimation of Arterial Wall Moving Velocities by Application of Hilbert-Huang Processing to Continuous Wave Doppler Ultrasound Signals: A Simulation Study

Zhang

Wang

et al. 2008

2008 International Conference on BioMedical Engineering and Informatics

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The distension of the vessel wall, which is the variation of a vessel diameter due to the distending blood pressure during a cardiac cycle, is used in the estimation of vessel stiffness parameters. A novel approach based on the empirical mode decomposition (EMD) and the Hilbert spectrum (HS) to estimate the arterial moving velocities from continuous quadrature Doppler signals is proposed in this paper. By using this approach, the high frequency blood flow components are firstly removed by using a low pass filter. Then the bi-directional signals are separated by using the phasing-filter technique. Each unidirectional signal is decomposed into intrinsic mode functions (IMFs) by using the EMD, and then the relevant IMFs from the wall are identified. Finally, the maximum velocity waveforms are extracted from the bidirectional Hilbert spectra. Results from simulation study show that this approach is practical for extracting the maximum velocities of the moving vessel wall correctly.

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“…It is hard to be cured completely, and thus prevention of its occurrence is of great importance. In the initial stage of the vascular stenosis disease, the blood flow distribution begins to be disturbed [1,2]. It is significant for the prevention and early diagnosis of the disease to obtain complete blood components exactly, and evaluate the dynamic state of blood flow distribution close to the vessel wall in time.…”

Section: Introductionmentioning

confidence: 99%

Delicate seperation of Doppler blood flow and vessel wall beat signals by using the EEMD-based algorithm

Lin

Zhang

Jia

et al. 2013

2013 6th International Conference on Biomedical Engineering and Informatics

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Based on the ensemble empirical mode decomposition (EEMD) time-frequency analysis for avoiding mode mixing, an algorithm to delicately separate the Doppler blood flow and vessel wall beat signals is proposed in this paper. Firstly, the proper amplitude of added noise and number of ensemble average for noise cancellation are estimated, and then the mixed Doppler ultrasound signal is decomposed into IMFs by using EEMD method. Finally, the IMFs around the division between the blood flow and vessel wall signals are delicately separated using soft-threshold denoising method. Experiments on both computer simulated with WBSR of 20dB, 40dB and 70dB as well as real human carotid Doppler ultrasound signals are carried out to compare the proposed method with the high pass filter, the original empirical mode decomposition (EMD) method and the improved EMD delicate separation method. It is shown that method proposed in this paper provides the highest accuracy of extracting blood flow signals by elimination of the mode mixture, especially for those signals with larger wall-to-blood signal ratio.

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Blood and wall signal simulator for Doppler ultrasound signal analysis algorithm development

Cited by 12 publications

References 15 publications

Doppler ultrasound wall removal based on the spatial correlation of wavelet coefficients

Doppler ultrasound wall removal based on the spatial correlation of wavelet coefficients

Estimation of Arterial Wall Moving Velocities by Application of Hilbert-Huang Processing to Continuous Wave Doppler Ultrasound Signals: A Simulation Study

Delicate seperation of Doppler blood flow and vessel wall beat signals by using the EEMD-based algorithm

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