| 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].Chinese Journal of Radiological Medicine and Protection,2025,45(7):692-698 |
| 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 |
| Received:June 12, 2024 |
| DOI：10.3760/cma.j.cn112271-20240612-00222 |
| KeyWords:Artificial intelligence iterative reconstruction Contrast-enhanced thoracic-abdominal-pelvic CT Optimal noise level Image quality Radiation dose |
| FundProject: |
| Author Name | Affiliation | E-mail | | Ding Wei | Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China | | | Liu Ziyan | Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China | | | Ma Zepeng | Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China | | | Zhang Tianle | Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China | | | Zhao Yongxia | Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China | zyx_zyx999@163.com |
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| Abstract:: |
| 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. |
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