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一级反向生成网络用于稀疏视图双能量CT重建和材料成像

Xinrui Zhang1, Lei Li1, Shaoyu Wang1

  • 1Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, People's Republic of China.

Physics in medicine and biology
|July 2, 2024
PubMed
概括

一种新的深度学习方法,即一步逆向生成网络 (OIGN),有效地减少了稀疏视图双能量CT成像中的工件. 这种方法改善了光谱图像重建和材料分解,以便更好地进行临床诊断.

关键词:
深度学习是一种深度学习.材料的分解材料的分解一步式生成的一步式生成稀疏视图成像技术的使用频谱CT重建 频谱CT重建

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