Clinical value of ClearInfinity deep learning reconstruction algorithm combined with"double-low"scanning technology in abdominal CT angiography
10.3969/j.issn.1002-1671.2025.03.030
- VernacularTitle:ClearInfinity深度学习重建算法结合"双低"扫描技术在腹部CT血管成像中的临床应用价值
- Author:
Sai WANG
1
;
Chao LIU
;
Wancui MEI
;
Hongze LÜ
;
Guan WANG
;
Bo YANG
;
Wen CHEN
Author Information
1. 湖北医药学院附属太和医院医学影像中心,湖北 十堰 442000;湖北医药学院生物医学工程学院,湖北 十堰 442000
- Publication Type:Journal Article
- Keywords:
deep learning;
image quality;
abdominal;
computed tomography angiography
- From:
Journal of Practical Radiology
2025;41(3):491-495
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the effect of ClearInfinity deep learning reconstruction algorithm on image quality and radiation dose of abdominal computed tomography angiography(CTA)at low kV and low contrast medium.Methods One hundred patients who underwent abdominal CTA were selected and randomly divided into group A and group B.Group A:tube voltage 70 kV,con-trast medium 30-35 mL,divided into A1 and A2 subgroups according to reconstruction algorithm,group A1 50%ClearInfinity,group A2 50%ClearView iterative algorithm;group B:tube voltage 100 kV,contrast medium 60-70 mL,50%ClearView.CT values and standard deviation(SD)values of region of interest(ROI)of abdominal aorta,proper hepatic artery,superior mesenteric artery,renal artery and common iliac artery were evaluated objectively,while signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated;subjective scores were evaluated by two physicians;radiation doses of groups A and B were analyzed.Results Volume CT dose index(CTDIvol),dose length product(DLP)and effective dose(ED)in group A were significantly lower than those in group B(P<0.05),subjective scores in group A1 and group B were higher than those in group A2(P<0.05),and there was no difference between group A1 and group B(P>0.05).Compared with group A1,SNR and CNR of all vessels in group A2 were significantly decreased.CT values of abdominal aorta and common iliac artery,CNR of common iliac artery and supe-rior mesenteric artery in group B were significantly increased,SNR of renal artery was significantly decreased(P<0.05).Conclusion ClearInfinity deep learning reconstruction algorithm combined with 70 kV scanning technology can obtain better abdom-inal CTA image quality,and effectively reduce the radiation dose and contrast medium of patients,which has high clinical application value.
