丁玮,刘子岩,马泽鹏,等.自动管电压调制联合人工智能迭代重建算法与常规扫描在胸腹盆CT增强中的比较研究[J].中华放射医学与防护杂志,2025,45(7):692-698.Ding Wei,Liu Ziyan,Ma Zepeng,et al.Comparison of automatic tube voltage modulation combined with an artificial intelligence iterative reconstruction algorithm versus conventional scanning protocol in contrast-enhanced thoracic-abdominal-pelvic CT[J].Chin J Radiol Med Prot,2025,45(7):692-698
自动管电压调制联合人工智能迭代重建算法与常规扫描在胸腹盆CT增强中的比较研究
Comparison of automatic tube voltage modulation combined with an artificial intelligence iterative reconstruction algorithm versus conventional scanning protocol in contrast-enhanced thoracic-abdominal-pelvic CT
投稿时间:2024-06-12  
DOI:10.3760/cma.j.cn112271-20240612-00222
中文关键词:  人工智能迭代重建  胸腹盆CT增强  最佳噪声等级  图像质量  辐射剂量
英文关键词:Artificial intelligence iterative reconstruction  Contrast-enhanced thoracic-abdominal-pelvic CT  Optimal noise level  Image quality  Radiation dose
基金项目:
作者单位E-mail
丁玮 河北大学附属医院放射科, 保定 071000  
刘子岩 河北大学附属医院放射科, 保定 071000  
马泽鹏 河北大学附属医院放射科, 保定 071000  
张天乐 河北大学附属医院放射科, 保定 071000  
赵永霞 河北大学附属医院放射科, 保定 071000 zyx_zyx999@163.com 
摘要点击次数: 3988
全文下载次数: 1027
中文摘要:
      目的 探讨自动管电压调制(ATVM)技术联合人工智能迭代重建(AIIR)算法与常规管电压联合卡尔迭代重建(Karl-3D IR)算法在胸腹盆CT增强中图像质量和辐射剂量比较研究,同时优选出胸腹盆CT增强检查中AIIR的最佳噪声等级。方法 回顾性将2023年4月至10月100例河北大学附属医院行胸腹盆CT增强检查的患者按随机数表法分为A组和B组,每组50人。A组采用自动管电压调制技术进行扫描,图像采用AIIR 1~5噪声等级进行图像重建。B组采用120 kVp联合Karl-3D IR 5级进行扫描和重建图像。记录和计算所有患者图像的信噪比(SNR)、对比度噪声比(CNR)、有效剂量(E)和体型特异性剂量估算值(SSDE),对所有图像进行主观评价。对AIIR 1~5噪声等级重建的图像质量进行比较,优选出AIIR的最佳图像重建噪声等级。对A组(AIIR最佳图像重建噪声等级)和B组的图像质量和辐射剂量进行统计学分析。结果 A组AIIR 1级、2级和3级噪声算法重建图像的SNR均值与CNR均值高于AIIR 4级和5级噪声算法重建图像的SNR和CNR均值;AIIR 3级和4级噪声算法重建图像的主观评分值高于AIIR的1级、2级和5级噪声算法重建图像的主观评分值。因此,AIIR 3级是胸腹盆CT增强图像重建的最佳噪声等级。A组AIIR 3级图像的SNR均值、CNR均值及主观评分值均高于B组Karl-3D IR 5级(P<0.001)。A组患者的SSDE均值与E均值均低于B组患者,且分别下降了46%和41%。结论 自动管电压技术结合AIIR算法可提高图像质量并能有效降低患者的辐射剂量。AIIR 3级是胸腹盆CT增强动脉期和静脉期图像重建的最佳噪声等级。
英文摘要:
      Objective To evaluate the image quality and radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT using automatic tube voltage modulation (ATVM) coupled with artificial intelligence iterative reconstruction (AIIR) versus routine tube voltage combined with Karl-3D iterative reconstruction (Karl-3D IR), and to determine the optimal noise level for AIIR in contrast-enhanced thoracic-abdominal-pelvic CT. Methods A total of 100 patients who underwent contrast-enhanced thoracic-abdominal-pelvic CT examination in the Affiliated Hospital of Hebei University from April to October, 2023 were randomly divided into group A and group B using a random number table, with 50 patients in each group. Group A was scanned using ATVM, and images were reconstructed using AIIR with 1-5 noise levels. Group B was scanned using tube voltage 120 kVp and images were reconstructed with Karl-3D IR and noise level 5. The single-to-noise ratio (SNR), contrast-to-noise ratio (CNR), effective dose (E), and size-specific dose estimate (SSDE) were recorded or calculated for all patients or images. Subjective evaluations of all images were performed. The quality of the reconstructed images using AIIR with 1-5 noise levels were compared and the optimal noise level of AIIR for image reconstruction was determined. Image quality and radiation dose were statistically analyzed for Group A (image reconstruction with optimal AIIR noise level) and Group B. Results The mean SNR and mean CNR of the reconstructed images using AIIR with noise levels 1, 2, and 3 in group A were higher than those using AIIR with noise levels 4 and 5. The images reconstructed using AIIR with noise levels 3 and 4 scored higher in subjective assessment than those reconstructed using AIIR with noise levels 1, 2, and 5. Therefore, noise level 3 was optimal for AIIR in reconstruction of contrast-enhanced thoracic-abdominal-pelvic CT images. The mean SNR, mean CNR, and subjective evaluation score of group A using AIIR with noise level 3 were higher than those of group B using Karl-3D IR with noise level 5 (P<0.001). The mean SSDE and the mean E of group A were reduced by 46% and 41%, respectively, compared with those of group B. Conclusions ATVM technology combined with the AIIR algorithm can improve image quality and reduced patient radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT. Noise level 3 is optimal for AIIR in the reconstruction of arterial-phase and venous-phase contrast-enhanced thoracic-abdominal-pelvic CT images.
HTML  查看全文  查看/发表评论  下载PDF阅读器
关闭