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Ryuji Akita1, Komei Takauchi2, Mana Ishibashi3
1Department of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan. akita13@hiroshima-u.ac.jp.
基于深度学习的图像重建 (DLR) 可以减少PET/CT扫描中的18F-FDG剂量. 这项研究表明,DLR可以在75kg以下的患者中减少36%的剂量,同时保持诊断质量.
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