Objective:To explore the value of Auto-kV technology combined with AI deep learning algorithm(Clear Infini-ty)in coronary CTA with low dose and low iodine load.Methods:Sixty-two patients who underwent coronary CTA were se-lected and divided into two groups of 31 cases each:group A(experimental group)was scanned by Auto-kV technology with O-Dose=0.7;group B(control group)was scanned by conventional 120 kV with O-Dose=1.0.The dosage of contrast agent of group A was based on the tube voltages given by Auto-kV technology:140 kV-0.9 mL/kg,120 kV-0.8 mL/kg,100 kV-0.7 mL/kg,80 kV-0.6 mL/kg,70 kV-0.5 mL/kg,60 kV-0.4 mL/kg,and the dosage of group B was standardized as 0.8 mL/kg.The injection time was 12 seconds.The raw data of group A were reconstructed by iterative reconstruction algorithm(Clear View)and AI re-construction algorithm(Clear Infinity)to produce two groups of images,named group A1 and group A2,respectively.The weights of both the iterative and AI algorithms were set to 70%.The raw data of group B were reconstructed by filtered back projection(FBP).The differences in image quality,iodine load and radiation dose were analyzed using statistics.Results:There were significant differences in CT value among the three groups,the CT value of group A1 and A2 were higher than group B.There were significant differences in image noise among the three groups,the image noise of group A1 and A2 was signifi-cantly lower than group B.There were significant differences in SNR and CNR among the three groups.The SNR and CNR of group A1 and A2 were significantly higher than group B.There were significant differences in CTDI,DLD,ED and iodine load between groups A and B.There was no statistical difference in subjective contrast among the three groups.The subjec-tive noise and diagnostic confidence of group A1 and A2 were better than group B,not between groups A1 and A2.There were significant differences in sharpness and detail among the three groups.Group A2 was better than group A1 and better than group B.Conclusion:Auto-kV technology combined with AI deep learning algorithm(Clear Infinity)can be used in coronary CTA to achieve individualized scanning,significantly reduce the dosage of contrast agent and radiation dose,and im-prove image quality.
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