Abstract
The measurement of blood flow velocities using either conventional color flow imaging (CFI), or more recent vector-Doppler or blood speckle tracking (BST) approaches are all hampered by regions of signal dropouts due to clutter filtering, as well as potentially high variance depending on the SNR in a given scenario. The aim of this work is to describe and demonstrate a fast processing pipeline for reconstructing the flow field in such regions, suitable for bedside evaluation.