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

页码：1843 / 1856

页数：13

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