A fuzzy decision system for ultrasonic prenatal examination enhancement

A fuzzy decision system has been successfully developed to semi-automate noninvasive examination of the fetus. Such a system can be helpful in reducing costs, minimizing exposure of the fetus to ultrasonic radiation, and providing a uniform examination and interpretation of the results. The system relies on pre-processing of the captured image followed by decisional algorithms in the form of a series of If-Then rules. Typical measurements of the head circumference, abdominal circumference, and femur length are used to arrive at appropriate membership functions. The inference system developed identifies almost 96% of the fetal types correctly, indicating that the use of fuzzy inference systems to assist in the analysis of ultrasonic fetal examinations is very promising