Objective: To explore the value of quantitative parameters through color Doppler ultrasound for predicting fetal growth restriction (FGR), and construct a quantitative nomogram model to guide clinical application. Methods: A total of 140 singleton pregnant women delivering in our hospital from March 2019 to March 2022 were prospectively selected as the research objects,the pregnant women were 21~ 44 years old and delivery weeks were 28 ~ 40 weeks. According to the fetal birth weight less than the 10th percentile of the corresponding gestational week, they were divided into FGR group(n=40)and non-FGR group(n=100). The blood flow parameters of fetal umbilical artery (UA), middle cerebral artery (MCA) and ductus venous (DV) were measured quantitatively by color Doppler ultrasound. Results: The pregnant complications and cesarean section in FGR group were higher than those in non-FGR group, delivery weeks was less, UA pulsatility index (UA-PI), resistance index (UA-RI), maximum systolic blood flow velocity/end diastolic blood flow velocity (UA-S/D) were higher, UA diastolic loss or inversion was more, while MCA-PI,MCA-RI,MCA-S/D, DV atrial systolic valley velocity (DV-a) and ventricular peak systolic velocity (DV-S) were less, too(P < 0.05). Multivariate Logistic regression showed that pregnant complications(OR = 5.659,95% CI = 4.235 ~ 6.675, P < 0.001), delivery weeks < 37 weeks (OR= 5.001,95% CI = 3.657 ~ 6.123, P < 0.001), UA-PI≥95th percentile (OR= 3.527,95% CI = 2.532 ~ 5.021, P = 0.001),UA diastolic loss or inversion (OR= 3.321,95% CI = 2.127 ~ 4.528, P = 0.006) and MCA-PI< 5th percentile (OR= 2.857,95% CI = 1.965 ~ 3.635, P = 0.011) were the independent risk factors to FGR. R software was used to establish the quantitative nomogram model and total score was 220. Receiver operating curve (ROC) showed that the area under the curve (AUC) of nomogram for predicting FGR was 0.876. Conclusion: Color Doppler ultrasound is the first choice for screening and diagnosis FGR,pregnant complications, delivery weeks < 37 weeks, UA-PI≥ 95th percentile, UA diastolic loss or inversion and MCA-PI < 5th percentile are independent risk factors for FGR. The establishment of quantitative nomogram model could guide early clinical identification of high-risk FGR and assist diagnosis, which has important application value.