Doppler ultrasound is a non-invasive and safe modality that is used for the estimation of blood velocities by transmitting high-frequency sound waves (ultrasound) and analyzing the signals reflected from circulating red blood cells. Doppler scans help diagnose many conditions, including: heart valve defects and congenital heart disease, artery occlusions and aneurysms. Classic Doppler processing methods do not make use of the underlying structure in the reflected signals in order to reduce the sampling rate or improve the estimation quality. Therefore, multitudes of ultrasound measurements are needed in order to produce reliable velocity estimation for each location and around each time point. In this project the efficient representation of ultrasound Doppler signals will be investigated with the application of sub-nyquist sampling. Validation will be performed using numerical simulations and phantom scans.
Supervisor(s): Prof. Yonina Eldar, Avinoam Bar-Zion