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使用基于深度学习的CT重建对冠状动脉CT血管图像质量的评估:幻影和患者研究

Pil-Hyun Jeon1, Sang-Hyun Jeon1, Donghee Ko1

  • 1Department of Radiology, Wonju Severance Christian Hospital, Wonju 26426, Republic of Korea.

Diagnostics (Basel, Switzerland)
|June 10, 2023
PubMed
概括

基于深度学习的重建 (DLR) 显著减少噪音,提高冠状动脉计算机断层扫描血管学 (CCTA) 的图像质量. 这种先进的技术可以提高信号与噪声比率 (SNR) 和对比与噪声比率 (CNR),从而提高诊断准确度.

关键词:
冠状动脉计算机断层扫描血管学 (CCTA)深度学习重建 (DLR)图像质量 图像质量的质量

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