Abstract：Objective To explore the effect of high-rate saline combined with high-strength deep learning image reconstruction
(DLIR-H) algorithm on the image quality of head and neck CT angiography (CTA) with “three low” (low tube voltage, low contrast
agent dosage and low contrast agent injection rate). Methods A total of 90 patients who underwent head and neck CTA in our hospital
were prospectively collected and randomly divided into group A, group B and group C, with 30 patients in each group. In
group A, 50 mL contrast medium was injected at a rate of 4.5 mL/s, 40 mL saline was injected at a rate of 3.0 mL/s,
120 kVp was used, and 60% adaptive iterative reconstruction-V (ASIR-V) algorithm was used for reconstruction. In
group B, 30 mL contrast medium was injected at a rate of 3.0 mL/s, 40 mL saline was injected at a rate of 3.0 mL/s, 80 kVp was
used, and 60% ASIR-V algorithm was used for reconstruction. In group C, 30 mL of contrast medium was injected at a rate of 3.0
mL/s, and 40 mL of saline was injected at a rate of 5.0 mL/s, with 80 kVp and reconstruction using the DLIR-H algorithm. The CT
value, standard deviation (SD), signal to noise ratio (SNR), contrast to noise ratio (CNR), CT dose index volume (CTDIvol) and CT
dose length product were compared among the three groups of images, and the subjective scores of image quality were compared
among the three groups. Results There were significant differences in CT value, SD value, SNR and CNR among the three groups
(P<0.001). The CT value of superior vena cava in group C was lower than that in group A and group B, and the CT value, SNR and
CNR of other target vessels were higher than those in group A and group B. The SD value of target vessels in group C was lower than
that in group B, and the difference was statistically significant (P<0.05). There was no significant difference in SD value between
group C and group A (P>0.05). The CTDIvol, effective radiation dose and contrast agent dosage in group C were reduced by 55%,
54% and 40% compared with group A, respectively. There was significant difference in the subjective scores among the three groups
(P<0.001), but no significant difference between group C and group A (P>0.05). Conclusion Under the “three low” technology, the
application of high-rate saline combined with DLIR-H algorithm in head and neck CTA can not only achieve the same image quality
as conventional dose, but also significantly reduce the radiation dose, contrast agent dosage and contrast agent injection rate.
樊敏，袁元，程巍，廖凯，杨行，王思梦，李真林. 高速率生理盐水联合高强度深度学习重建
算法对“三低”头颈部CTA图像质量的影响[J]. 中国医疗设备, 2023, 38(7): 90-95.
FAN Min, YUAN Yuan, CHENG Wei, LIAO Kai, YANG Hang, WANG Simeng, LI Zhenlin. Effect of High-Rate Saline Combined with High-Strength Deep Learning Image
Reconstruction Algorithm on Image Quality of “Three-Low” Head and Neck CTA. China Medical Devices, 2023, 38(7): 90-95.
