Newly Developed Deep Learning Reconstruction (DLR) for Dynamic Contrast-Enhanced CT Angiography: Comparison of Capability for Image Quality Improvements and Abdominal Arteries Assessments among DLR, Hybrid-Type and Model-Based Iterative Reconstructions (I
Newly Developed Deep Learning Reconstruction (DLR) for Dynamic Contrast-Enhanced CT Angiography: Comparison of Capability for Image Quality Improvements and Abdominal Arteries Assessments among DLR, Hybrid-Type and Model-Based Iterative Reconstructions (I
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新开发的动态对比增强 CT 血管造影深度学习重建 (DLR)：DLR、混合型和基于模型的迭代重建的图像质量改进和腹动脉评估能力比较 (I
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Hiroshi Toyama
中科院分区：
文献类型：
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作者：
Hiroyuki Nagata;Takahiro Matsuyama;Yoshiharu Ohno;Hirona Kimata;kyouko Itou;Kenji Fujii;Ryota Matsumoto;Akio Katagata;Yumi Kataoka;Yoshihiro Ida;Hokuto Akamatsu;Ryota Hanaoka;Ryoichi Kato;Kazuhiro Katada;Hiroshi Toyama
