中国医学前沿杂志（电子版）2026，Vol.18Issue(1)：69-74,6.DOI:10.12037/YXQY.2026.01-11
AI图像后处理技术对于低电压低对比剂冠状动脉CT血管成像图像质量的影响研究
The research on the impact of artificial intelligence image post-processing techniques on the image quality of low tube voltage/low iodine dose contrast coronary CT angiography
摘要
Abstract
Objective To explore the influence of artificial intelligence(AI)-based post-processing technology on the image quality in double low(80 kVp tube voltage,40 ml contrast agent)coronary computed tomography angiography(CCTA).Methods This retrospective study enrolled patients who underwent CCTA examinations at Hai'an Hospital of Traditional Chinese Medicine between January 2021 and October 2023,with a body mass index(BMI)≤25 kg/m2.Patients were randomly assigned to either the 100 kVp group or the 80 kVp group using a random number table.Images were reconstructed using both conventional post-processing methods and AI algorithms,and subjective and objective image quality assessments of the coronary arteries were performed.Differences in general characteristics,subjective and objective image quality assessments,and radiation dose between groups were compared.Results A total of 102 patients were enrolled in this study,including 53 patients in the 100 kVp group and 49 patients in the 80 kVp group.The 100 kVp group demonstrated significantly higher average coronary artery CT values[(527.00±80.00)HU vs.(343.00±60.00)HU,P<0.001],image noise[(26.00±7.00)HU vs.(21.00±7.00)HU,P=0.002)],and signal-to-noise ratio(SNR)[(20.30±4.20)vs.(16.30±4.30),P<0.001]compared to the 80 kVp group.However,there was no statistically significant difference in contrast-to-noise ratio(CNR)between the two groups[(24.50±4.00)vs.(22.60±6.20),P=0.099].There was no statistically significant difference in subjective image quality scores between images processed using artificial intelligence(AI)and traditional post-processing methods.The radiation dose in the 80 kVp group was significantly lower than that in the 100 kVp group.Conclusions Double low CCTA can reduce the radiation dose for patients,and AI-reconstructed images enhance physician workflow efficiency while maintaining coronary artery image quality.关键词
冠状动脉/辐射剂量/人工智能Key words
Coronary artery/Radiation dose/Artificial intelligence引用本文复制引用
周爱明,袁芝森,王春荣,吉顺年,张宏娟,周长圣..AI图像后处理技术对于低电压低对比剂冠状动脉CT血管成像图像质量的影响研究[J].中国医学前沿杂志（电子版）,2026,18(1):69-74,6.基金项目
南通市科技局基础科学研究计划-指导项目(JCZ20175) Basic Science Research Program of Nantong Municipal Science and Technology Bureau-Guidance Project(JCZ20175) （JCZ20175）
