ISSN 1004-4140
CN 11-3017/P
冯梦雅, 李冰, 吴敏, 等. 基于AI的新迭代重建算法与低管电压在降低肥胖患者冠状动脉CTA辐射剂量中的应用[J]. CT理论与应用研究, 2023, 32(6): 777-782. DOI: 10.15953/j.ctta.2022.148.
引用本文: 冯梦雅, 李冰, 吴敏, 等. 基于AI的新迭代重建算法与低管电压在降低肥胖患者冠状动脉CTA辐射剂量中的应用[J]. CT理论与应用研究, 2023, 32(6): 777-782. DOI: 10.15953/j.ctta.2022.148.
FENG M Y, LI B, WU M, et al. Application of New Iterative Reconstruction Algorithm Based on Artificial Intelligence and Low Tube Voltage in Reducing the Radiation Dose of Coronary CTA in Obese Patients[J]. CT Theory and Applications, 2023, 32(6): 777-782. DOI: 10.15953/j.ctta.2022.148. (in Chinese).
Citation: FENG M Y, LI B, WU M, et al. Application of New Iterative Reconstruction Algorithm Based on Artificial Intelligence and Low Tube Voltage in Reducing the Radiation Dose of Coronary CTA in Obese Patients[J]. CT Theory and Applications, 2023, 32(6): 777-782. DOI: 10.15953/j.ctta.2022.148. (in Chinese).

基于AI的新迭代重建算法与低管电压在降低肥胖患者冠状动脉CTA辐射剂量中的应用

Application of New Iterative Reconstruction Algorithm Based on Artificial Intelligence and Low Tube Voltage in Reducing the Radiation Dose of Coronary CTA in Obese Patients

  • 摘要: 目的:探讨采用基于AI的新迭代重建算法与低管电压在降低肥胖患者冠状动脉CTA辐射剂量的可行性。方法:选取行冠状动脉CTA检查的肥胖患者40例,随机分为两组。常规剂量组(A组)和低管电压剂量组(B组)各20例。常规剂量组采用管电压120 kV,管电流200 mAS扫描,低剂量组采用管电压80 kV,管电流200 mAS。采集数据传输到后处理工作站后,分别采用常规迭代重建算法和基于AI的新迭代重建算法的图像重建,对比分析两组的主动脉平均CT值、主动脉及左冠状动脉的信噪比、对比噪声比和右冠状动脉的噪声、信噪比。结果:B组主动脉的平均CT值、主动脉及左冠状动脉的信噪比、对比噪声比和右冠状动脉的噪声、信噪比、对比噪声比与A组无明显统计学差异;两组冠状动脉主观图像质量评分无明显差异;但B组的辐射剂量较A组降低68.2%。结论:新迭代重建算法能够显著性提高重建的图像质量,在新迭代重建算法的加持下,用80 kVp的管电压可以明显降低辐射剂量,同时获得与常规剂量图像质量相当的冠状动脉CTA图像。

     

    Abstract: Objective: To explore the feasibility of using a new artificial intelligence (AI)-based iterative reconstruction algorithm with low tube voltage to reduce the radiation dose of coronary computed tomography angiography (CTA) in obese patients. Methods: A total of 40 patients were randomly divided into routine-dose (group A n=20) and low-dose groups (group B n=20). In group A, a tube voltage of 120 kV and a tube current of 200 mAs, whereas in group B, a tube voltage of 80 kV and a tube current of 200 mAs were used. The collected data was transferred to the post-processing workstation. The image reconstructions of the conventional and new iterative reconstruction algorithms based on AI were used. Comparative analysis of average CT value of the aorta, signal to noise ratio (SNR) and contrast to noise ratio (CNR) of the aorta and left coronary, SNR and CNR of right coronary in the two groups. Results: The average CT value of the aorta in group B, the SNR and CNR of the aorta and the left coronary artery, the SNR and CNR of the right coronary artery was not significantly different from those of group A. There was no difference in the subjective image quality between the two groups. However, the radiation dose in patients of group B was reduced by 68.2% compared with that of group A. Conclusion: The new iterative reconstruction algorithm can significantly improve the image quality of the reconstruction. The radiation dose can be significantly reduced with a tube voltage of 80 kVp, and the coronary CTA image equivalent to the image quality of the conventional dose can be obtained.

     

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