The invention discloses an ultrasonic image
data detection method based on referenced fetal
umbilical cord blood flow, which comprises the following steps of: constructing a three-dimensional dynamic image of the fetal
umbilical cord blood flow through multi-angle
ultrasonic imaging, and accurately capturing the
blood flow direction and speed change in combination with a neural
network model; and the problems of inaccurate blood flow direction identification and lagging speed distribution analysis caused by two-dimensional imaging fuzziness and large manual judgment error are avoided. Modeling is carried out on the blood flow dynamic characteristics through a preset blood flow anomaly judgment
algorithm, the parameters of the blood flow parameter matrix are automatically extracted, and the recognition blind area of complex blood flow anomaly in the prior art is broken through. A
risk assessment result is further automatically generated in combination with a
fetus health
database, real-time early warning is performed when serious abnormity is detected, a complete
closed loop from blood flow monitoring to clinical intervention is constructed, and the problem that in the prior art, the
umbilical cord blood flow direction, speed distribution, reverse blood flow and blood flow interruption cannot be accurately recognized, and clinical intervention is affected is solved. And early-stage fetal distress early warning is difficult to realize.