The influence of ASiR-V algorithm on radiation dose and image quality in children’s ultra-low-dose chest CT examination
10.13491/j.issn.1004-714X.2025.04.012
- VernacularTitle:儿童超低剂量胸部CT检查中应用ASiR-V算法对其辐射剂量及图像质量的影响
- Author:
Limin WANG
1
;
Xiumin LYU
1
;
Yanping WANG
1
;
Lulu XU
1
Author Information
1. Department of Pediatrics, Qingdao Rehabilitation University Hospital (Qingdao Municipal Hospital), Qingdao 266001, China.
- Publication Type:OriginalArticles
- Keywords:
Children;
Multi-model adaptive statistical iterative reconstruction algorithm;
Ultra-low dose;
Chest CT;
Radiation dose;
Image quality
- From:
Chinese Journal of Radiological Health
2025;34(4):540-545
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the impact of multi-model adaptive statistical iterative reconstruction (ASiR-V) algorithm on radiation dose and image quality in children’s ultra-low-dose chest CT examination. Methods A total of 72 children who underwent chest CT scans at Qingdao Municipal Hospital with admissions between January 2024 and January 2025 were selected as subjects and divided into two groups using a random number table. In the control group (n = 36), the tube voltage was set at 100 kVp and the conventional filtered back projection algorithm was used. In the observation group (n = 36), the tube voltage was set at 80 kVp and images were reconstructed using 30% ASiR-V (observation group 1), 60% ASiR-V (observation group 2), and 90% ASiR-V (observation group 3), respectively. Radiation doses were recorded for each group, and both subjective and objective evaluations of image quality were conducted. Results Compared with the control group, the observation group demonstrated significantly lower volume CT dose index [(0.86 ± 0.09) mGy], dose length product [(25.90 ± 3.55) mGy·cm], and effective dose [(0.01 ± 0.001) mSv] (P < 0.05). There was no significant difference in subjective evaluation scores of image quality among the four groups (z = −2.206, P = 0.530). Additionally, Fisher’s exact test showed that the proportion of images scoring 4-5 points was higher in observation group 2 than in observation group 3 (P = 0.024). The noise value of the ascending aorta in the mediastinal window and the noise values of the right and left middle lung fields and the right and left upper lung fields in the lung window were lower in observation groups 2 and 3 than in the control group, and these values were lower in observation group 3 than in observation group 2 (P < 0.05). The signal-to-noise ratios of the ascending aorta and liver in observation groups 2 and 3 were higher than those in the control group, and the ratios were higher in observation group 3 than in observation group 2 (P < 0.05). Conclusion Reconstruction using the 60% ASiR-V algorithm for pediatric ultra-low-dose chest CT examination can ensure good image quality while reducing radiation dose and improving examination safety.
