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Updated: Feb 6, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
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使用代重建和深度学习算法重建的图像质量的比较,在双能量动脉CT血管学中不同剂量减少的情况下

Chenzi Wang1,2,3, Juan Long1,2,3, Dapeng Zhang1,2,3

  • 1Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China.

Journal of imaging informatics in medicine
|February 4, 2026
PubMed
概括

深度学习图像重建 (DLIR-H) 显示出低剂量动脉CT血管造影 (CTA) 的前景. 虽然DLIR-H在减少辐射和对比度的情况下改善了图像质量,但进一步减少剂量导致了一些降解.

关键词:
冠状动脉 冠状动脉 冠状动脉深度学习图像重建 图像重建图像质量 图像质量低扫描 低扫描 低扫描超低剂量 超低剂量虚拟单色图像 虚拟单色图像

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