| 多模型迭代重建技术可提高早期肺癌低剂量GE revolution CT成像质量 |
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| 引用本文： | 李希, 王仁贵. 多模型迭代重建技术可提高早期肺癌低剂量GE revolution CT成像质量[J]. 分子影像学杂志, 2020, 43(3): 449-452. doi: 10.12122/j.issn.1674-4500.2020.03.16 |
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| 作者姓名： | 李希 王仁贵 |
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| 作者单位： | 北京世纪坛医院放射科, 北京 100038 |
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| 摘 要： | 目的探讨多模型迭代重建技术对早期肺癌低剂量GE revolution CT成像质量的影响。方法将2018年1月~2019年6月于北京世纪坛医院就诊的240例早期肺癌患者作为观察对象，所有患者均行低剂量GE revolution CT成像检查，并采用多模型迭代重建技术对图像进行重建。比较图像重建前后肺窗图像质量、纵膈窗图像质量及图像质量参数。结果与低剂量GE revolution CT图像相比，应用多模型迭代重建技术重建后的肺窗和纵膈窗图像质量提高，图像噪声降低（8.83±1.95 Hu vs 9.21± 2.17 Hu），信噪比升高（7.21±1.30 vs 6.89±1.22），差异均有统计学意义（P < 0.05），而CT值比较差异无统计学意义（65.01±7.94 Hu vs65.38±8.26 Hu，P > 0.05）。结论多模型迭代重建技术能够提高早期肺癌低剂量GE revolution CT成像质量，对早期肺癌的筛查具有重要临床应用价值。
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| 关 键 词： | 多模型迭代重建技术 早期肺癌 低剂量GE revolution CT成像 |
| 收稿时间： | 2019-12-11 |
Multi-model iterative reconstruction technique can improve imaging quality of low-dose GE revolution CT in early lung cancer |
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| Xi LI, Rengui WANG. Multi-model iterative reconstruction technique can improve imaging quality of low-dose GE revolution CT in early lung cancer[J]. Journal of Molecular Imaging, 2020, 43(3): 449-452. doi: 10.12122/j.issn.1674-4500.2020.03.16 |
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| Authors: | Xi LI Rengui WANG |
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| Affiliation: | Department of Radiology, Beijing Shijitan Hospital, Beijing 100038, China |
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| Abstract: | ObjectiveTo investigate the effect of multi-model iterative reconstruction technique on imaging quality of low-dose GE revolution CT in early lung cancer.MethodsA total of 240 patients with early lung cancer who visited Beijing Shijitan Hospital from January 2018 to June 2019 were collected. All patients underwent low-dose GE revolution CT imaging. The images were reconstructed by multi-model iterative reconstruction technique. The image quality of lung window, mediastinal window and image quality parameters before and after image reconstruction were compared.ResultsCompared with low-dose GE revolution CT images, the image quality of lung window and mediastinal window reconstructed by multi-model iterative reconstruction technique was improved with reduced image noise (8.83±1.95 vs 9.21±2.17 Hu) and increased signal-to-noise ratio (SNR, 7.21±1.30 vs 6.89±1.22) (P < 0.05). The difference of the CT value was not significant(65.01±7.94 vs 65.38±8.26 HU, P > 0.05).ConclusionMulti-model iterative reconstruction technique can improve the imaging quality of low-dose GE revolution CT for early lung cancer. It has important clinical value for screening early lung cancer. |
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| Keywords: | multi-model iterative reconstruction technique early lung cancer low-dose GE revolution CT imaging |
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