遵义医科大学学报2024，Vol.47Issue(5)：487-494,501,9.
人工智能迭代重建算法在腹部低剂量增强CT中的临床应用价值
Clinical application of artificial intelligence iterative reconstruction algorithm in low-dose abdominal contrast-enhanced CT
摘要
Abstract
Objective To explore the clinical application value of artificial intelligence iterative reconstruction(AIIR)algorithm in low-dose abdominal contrast-enhanced CT.Methods A total of 31 patients(Male/female,24/7;Average Age,60.5±10.8 years)who underwent abdominal contrast-enhanced CT examination in our hospital from January to August 2023 were prospectively enrolled.Conventional dose(100 KVp,tube current modulation technology,dose level 3,reference tube current 213 mAs)and low-dose(80 KVp,tube current modulation technology,dose level 1,reference tube current 47 mAs)abdominal contrast-enhanced CT images of portal venous phase were collected and radiation dose parameters were recorded at the same time.Conventional dose(SD)CT was reconstructed by Karl iterative reconstruction and low-dose(RD)CT was reconstructed by Karl and AIIR algorithm with grade 1,3,and 5.CT values,noise index,signal to noise ratio(SNR)and con-trast to noise ratio(CNR)of portal vein,liver,muscle and fat of the five groups of images were measured.The overall image quality and"wax texture"of the five groups of images were subjectively evaluated.A total of 61 liver lesions with a long diameter greater than 5 mm were selected,the SNR and CNR of the lesions were meas-ured and the significance of the lesions was subjectively evaluated.Results The effective dose(ED)of the SD group was(7.06±2.50)mSv and the ED of the RD group was(1.18±0.54)mSv,the radiation dose of the RD group was reduced by about 83.3％compared with the SD group.There were no significant differences in CT values of liver,muscle and fat among the five groups(P＞0.05).The CT values of portal vein were significantly different between SD Karl group and RD Karl group,as well as between RD Karl group and RD AIIR groups(P＜0.005).The SD,SNR and CNR values of RD AIIR reconstruction images were significantly better than those of RD and SD Karl reconstruction image(P＜0.005).The RD AIIR 5 reconstruction was equivalent to the SD Karl reconstruction in terms of the overall image quality and"wax texture",which met the clinical diagnostic re-quirements.The SNR and CNR values in each RD AIIR group were significantly higher than those in RD Karl group(P＜0.005),the subjective score of lesion significance in RD AIIR 5 group was similar to that in SD Karl group and higher than that in RD Karl,RD AIIR 1 and RD AIIR 3 groups(P＜0.005).Conclusion The AIIR re-construction algorithm can effectively reduce the image noise of low-dose abdominal contrast-enhanced CT,improve the image quality and enhance the significance of lesions in low-dose abdominal contrast-enhanced CT images.关键词
腹部增强CT/低剂量CT/人工智能迭代重建/肝脏Key words
abdominal contrast-enhanced CT/low-dose CT/artificial intelligence iterative reconstruction/liver分类
医药卫生引用本文复制引用
张宝平,李傲,李宇航,朱书萌,田倩,赵文哲,杨健,金超..人工智能迭代重建算法在腹部低剂量增强CT中的临床应用价值[J].遵义医科大学学报,2024,47(5):487-494,501,9.基金项目
国家自然科学基金数学天元重点专项(NO:12226007). （NO:12226007）
