  This paper provides a mathematical analysis of ultrafast ultrasound imaging.
This newly emerging modality for biomedical imaging uses plane waves instead of
focused waves in order to achieve very high frame rates. We derive the point
spread function of the system in the Born approximation for wave propagation
and study its properties. We consider dynamic data for blood flow imaging, and
introduce a suitable random model for blood cells. We show that a singular
value decomposition method can successfully remove the clutter signal by using
the different spatial coherence of tissue and blood signals, thereby providing
high-resolution images of blood vessels, even in cases when the clutter and
blood speeds are comparable in magnitude. Several numerical simulations are
presented to illustrate and validate the approach.
