A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET

被引：0
|
作者：
Song Xue
Rui Guo
Karl Peter Bohn
Jared Matzke
Marco Viscione
Ian Alberts
Hongping Meng
Chenwei Sun
Miao Zhang
Min Zhang
Raphael Sznitman
Georges El Fakhri
Axel Rominger
Biao Li
Kuangyu Shi
机构：
[1] University of Bern,Department of Nuclear Medicine
[2] Shanghai Jiao Tong University School of Medicine,Department of Nuclear Medicine, Ruijin Hospital
[3] Ruijin Center,Collaborative Innovation Center for Molecular Imaging of Precision Medicine
[4] Technical University of Munich,Department of Informatics
[5] University of Bern,ARTORG Center
[6] Harvard Medical School,Gordon Center for Medical Imaging, Massachusetts General Hospital
来源：
European Journal of Nuclear Medicine and Molecular Imaging | 2022年 / 49卷
关键词：
Deep learning; Low-dose; PET; Recovery; Cross-scanner; Cross-tracer;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1843 / 1856
页数：13
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