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通过基于超分辨率深度学习的冠状动脉CT血管学重建来提高图像质量

Yasunori Nagayama1, Takafumi Emoto2, Yuki Kato3

  • 1Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1, Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan. y.nagayama1980@gmail.com.

European radiology
|July 11, 2023
PubMed
概括

超分辨率的基于深度学习的重建 (SR-DLR) 显著提高了冠状动脉CT血管造影 (CCTA) 的图像质量. 这种先进的技术可以改善降噪,抑制文物和对象检测,以更好地评估冠状动脉疾病.

关键词:
心脏成像技术的心脏成像技术.计算机断层扫描血管图谱.冠状动脉疾病是一种冠状动脉疾病.深度学习是一种深度学习.图像增强 图像增强 图像增强

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