Abstract
A Doppler ultrasound signal has been reconstructed using different compressed sensing algorithms. With compressed sensing it’s possible to reconstruct signals and images using a few numbers of measurements so as to overcome the limitation of sampling in a real-time Doppler ultrasound sonogram. In this work we want to compare different compressed sensing algorithms used for Doppler ultrasound signal reconstruction so as to select the best algorithm that, gives a real-time Doppler ultrasound image and maintain quality. The result shows that regularized orthogonal matching pursuit reconstruction algorithm reconstructs the Doppler signal and gives Doppler spectrum in a real-time with high quality also ℓ1-norm reconstructs the Doppler signal and gives Doppler spectrum with a good quality, but the reconstruction time was very long.
Highlights
Doppler ultrasound is one of the most important non-invasive techniques for measuring and monitoring blood flow within the body
The result shows that the compressed sensing (CS) algorithms used can reconstruct the Doppler spectrum by using a few numbers of points with a good quality
The quality of reconstructed spectrum depends on the number of points used for reconstruction, the quality of images degraded as the number of measurements decreased
Summary
Doppler ultrasound is one of the most important non-invasive techniques for measuring and monitoring blood flow within the body. During the acquisition of Doppler data a train of pulses transmitted repeatedly to be acquired from selected region of interest. In most cases of Doppler signal acquisition done in more than one mode (duplex or triplex mode), this leads to reduction in frame rates for other modes, this reduction limit the ability to follow events in real-time. The output of the spectral analyzer is usually represented as spectrograms which show the Doppler spectrum as an intensity modulated line at a given time in real-time. This allows the sonographer to check the time-varying velocity from the output of this spectrogram
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