Time domain correlation technique is a widely used method for blood flow ve
locity measurement. The time shift between a pair of windowed ultrasonic ec
hoes is estimated by searching the temporal position of the maximum of the
interpolated normalized correlation function. Between two consecutive echoe
s, the acoustical footprint of a group of scatterers, which are transported
with the how, moves and is deformed. This implies a decreasing of the ampl
itude of the normalized correlation coefficient. In the case of microcircul
ation (low how rate, low SNR), the amplitude of the correlation peak can be
used to detect the presence of blood flow and to discriminate false and tr
ue detections (reliability index). We have numerically evaluated the statis
tical performances of the cross-correlation algorithm used as a correlation
peak amplitude estimator in severe conditions (short correlation window le
ngth, low SNR). These theoretical results have been compared with in vitro
experimentation on a 100-mum-diameter microcirculatory phantom and with in
vivo experimentation on a 180-mum-diameter vessel of a human leg carrying e
rysipelas.