中国医学科学院学报2025，Vol.47Issue(1)：29-34,6.DOI:10.3881/j.issn.1000-503X.16068
多模型自适应统计迭代重建算法在高原地区儿童超低剂量胸部CT检查中的应用
Application of Multi-Model Adaptive Statistical Iterative Reconstruction-Veo in Ultra-Low Dose Chest CT Examination of Children in Plateau Area
摘要
Abstract
Objective To explore the application value of multi-model adaptive statistical iterative recon-struction-Veo(ASiR-V)in ultra-low dose chest CT examination of children in the plateau area.Methods The children who underwent chest CT examination in Xizang Autonomous Region People’s Hospital were enrolled in this study and assigned into two groups according to the scanning conditions.Group A underwent scanning at a tube voltage of 100 kV and ASiR-V 50%reconstruction,and group B underwent scanning at a tube voltage of 80 kV and ASiR-V 0(Group B1)and ASiR-V 50%(Group B2)reconstruction.The image quality of each group was evaluated objectively and subjectively.The radiation dose and image quality were compared between groups.Results Groups A and B showed the volume CT dose indexes of(2.33±0.62)mGy and(0.86±0.01)mGy and the dose length products of(65.01±25.12)mGy·cm and(23.55±3.38)mGy·cm,respectively,which presented differ-ences between groups(both P<0.001).The image noise in the bilateral upper and middle lung areas in group B2 was lower than that in group B1 but higher than that in group A(all P<0.001).There was no significant difference in image quality score of the lung window among groups(all P>0.05).Groups A,B1,and B2 had no significant differences in ascending aorta(P=0.538)or liver CT value(P=0.175)in the mediastinal win-dow.The signal-to-noise ratios and contrast-to-noise ratios of ascending aorta and liver in group B2 were higher than those in group B1(all P<0.001)and lower than those in group A(all P<0.05).The image quality score of the mediastinal window followed a descending order of group A>group B2>group B1(all P<0.001).Conclusion ASiR-V combined with low tube voltage can effectively reduce the radiation dose and guarantee the image quality of chest CT of children in the plateau area.关键词
自适应统计迭代重建算法/儿童/低剂量/多层螺旋CTKey words
adaptive statistical iterative reconstruction-Veo/children/low dose/multislice spiral CT分类
医药卫生引用本文复制引用
王先涛,白瑞婷,次旦旺久,索朗尼玛,尼玛卓嘎,苏佰燕..多模型自适应统计迭代重建算法在高原地区儿童超低剂量胸部CT检查中的应用[J].中国医学科学院学报,2025,47(1):29-34,6.基金项目
西藏自治区自然科学基金组团式医学援藏项目[XZ2021ZR-ZY08(Z)] （Z）
