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超分辨率深度学习重建,以提高冠状动脉CT血管图像质量

Masafumi Takafuji1, Kakuya Kitagawa1, Sachio Mizutani1

  • 1From the Department of Radiology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu 514-8507, Japan (M.T., K.K., H.S.); and Departments of Radiology (M.T., S.M., A.H., R.K.) and Cardiology (K. Iio, K. Ichikawa, D.I.), Matsusaka Municipal Hospital, Matsusaka, Japan.

Radiology. Cardiothoracic imaging
|September 11, 2023
PubMed
概括

超分辨率深度学习重建 (SR-DLR) 显著减少图像噪声,并提高冠状动脉CT血管造影 (CCTA) 的边缘清晰度. 与传统方法相比,这种先进的技术提高了冠状动脉狭窄分级的准确性.

关键词:
图像扫描血管学 CT血管学一个心脏病患者的心脏病.冠状动脉 冠状动脉 冠状动脉

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