深度学习重建CT用于肝转移:低剂量双能量与标准剂量单能量
Peijie Lyu1, Zhen Li2, Yan Chen1
1Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
European radiology
|August 2, 2023
概括
低剂量双能CT (DECT) 与深度学习图像重建 (DLIR) 保持图像质量和肝转移检测率,与标准剂量单能CT (SECT) 相比. 这种方法可以显著减少34%的辐射剂量.
科学领域:
- 放射学和成像科学 放射学和成像科学
- 医学物理 医学物理
- 瘤成像学成像学
背景情况:
- 标准剂量单能CT (SECT) 广泛用于肝转移的检测.
- 深度学习图像重建 (DLIR) 提供了在CT成像中降低剂量的潜力.
- 双能CT (DECT) 提供材料分解能力,可在降低剂量时提高图像质量.
研究的目的:
- 为了比较低剂量DECT与DLIR的图像质量和肝转移检测性能,与标准剂量SECT与DLIR或代重建 (IR) 相比.
- 评估降低腹部CT剂量的可行性,以鉴定肝损伤的特征.
主要方法:
- 前性研究比较两个组 (每组n=40) 的腹部对比度增强CT扫描.
- 减少剂量的DECT (40-60 keV VMIs,DLIR) 与全剂量的SECT (120-kVp,DLIR和IR) 相比.
- 进行了定量 (噪音纹理,低对比分辨率) 和定性 (损伤检测,图像质量) 的评估.
主要成果:
- 低剂量DECT与DLIR显示可比或改进的图像噪声,低对比分辨率,信号与噪声比率和病变明显性与SECT与IR相比.
- 与使用DLIR的SECT相比,使用DLIR的50-keVVMI显示了类似的性能指标,但频率噪声质感较低.
- 对肝转移的观察者病变检测率维持在34%的辐射剂量减少使用DECT与DLIR.
结论:
- 低剂量DECT与DLIR相结合,可实现34%的辐射剂量减少,用于肝转移的检测,同时保持与全剂量SECT相比的感知图像质量.
- 这种技术在肝转移检测方面与标准剂量SECT一样准确,可以显著节省辐射剂量.
- 在低keV VMI 中的DLIR在临床上足以检测低对比度肝转移,从而提高了基于IR的SECT的可见性.
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