Objective: To evaluate the feasibility, stability and predictive value of the diagnosis of cerebral infarction by using VTIQ. To explore the clinical value of high frequency ultrasound combined with virtual touch tissue imaging quantification (VTIQ) in predicting cerebral infarction. Methods：60 cases of cerebral infarction and 40 cases of non-cerebral infarction were collected。The representative plaques were selected for high-frequency ultrasound and VTIQ examination according to the plaque total risk score standard. Patch echo type (PEH), stenosis rate (SR) and shear wave velocity (SWV) were recorded to compare the PET composition ratio, SR and SWV of the two groups of patients. Bland-Altman tested the consistency between observers. ROC curve analysis of PET, SR and SWV independently predicted the clinical efficacy and optimal diagnostic threshold of cerebral infarction. Logistic regression combined with ROC curve was used to analyze the clinical value of multiple parameters combined to predict cerebral infarction. Results: There were statistically significant differences in PET composition ratio and SR between the two groups (P=0.000). SWV in cerebral infarction group was significantly lower than that in non-cerebral infarction group (P=0.004). PET, SR and SWV were respectively 0.291, 0.722 and 0.664 in the diagnosis of cerebral infarction under cueve (AUC). The SWV value has good observer consistency. The sensitivity, specificity and accuracy of predicting cerebral infarction were 60%, 62.5% and 70.5%, respectively, using SWV less than or equal to 3.435m/s as the boundary value. The AUC of PET, SR and SWV combined to predict cerebral infarction increased to 0.945, and the sensitivity, specificity and accuracy increased to 91.67%, 82.5% and 87%, respectively. Conclusion: It is feasible and repeatable to evaluate the hardness of carotid artery plaque in the diagnosis of cerebral infarction by VTIQ. Carotid stenosis rate is still the gold index of cerebral infarction prediction. Combined application of VTIQ and high-frequency ultrasound can improve the diagnostic value of cerebral infarction.