Impact of 2.5-dimensional Deep Learning for Zero-TE MR-based Attenuation Correction on Chest FDG PET/MRI: Comparison with Conventional and 2-dimensional Deep Learning Approach

被引：0
|
作者：
Tachibana, M. [1 ]
Nogami, M. [2 ,3 ]
Matsuo, H. [1 ]
Nishio, M. [1 ]
Inukai-Inoue, J. [1 ]
Zeng, F. [1 ]
Kurimoto, T. [4 ]
Kubo, K. [2 ]
Murakami, T. [1 ,2 ]
机构：
[1] Kobe Univ, Grad Sch Med, Kobe, Hyogo, Japan
[2] Kobe Univ Hosp, Dept Radiol, Kobe, Japan
[3] Univ Fukui, Div Med Imaging, Biomed Imaging Res Ctr, Fukui, Japan
[4] GE Healthcare, Hino, Japan
来源：
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2023年 / 50卷 / SUPPL 1期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
EPS-104
引用
收藏
页码：S147 / S148
页数：2
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