Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network

被引:0
作者
Isaac Shiri
Hossein Arabi
Parham Geramifar
Ghasem Hajianfar
Pardis Ghafarian
Arman Rahmim
Mohammad Reza Ay
Habib Zaidi
机构
[1] Geneva University Hospital,Division of Nuclear Medicine and Molecular Imaging
[2] Tehran University of Medical Sciences,Research Center for Nuclear Medicine, Shariati Hospital
[3] Iran University of Medical Science,Rajaie Cardiovascular Medical and Research Center
[4] Shahid Beheshti University of Medical Sciences,Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD)
[5] Shahid Beheshti University of Medical Sciences,PET/CT and Cyclotron Center, Masih Daneshvari Hospital
[6] University of British Columbia,Departments of Radiology and Physics
[7] BC Cancer Research Centre,Department of Integrative Oncology
[8] Tehran University of Medical Sciences,Research Center for Molecular and Cellular Imaging
[9] Tehran University of Medical Sciences,Department of Medical Physics and Biomedical Engineering
[10] Geneva University,Geneva University Neurocenter
[11] University of Groningen,Department of Nuclear Medicine and Molecular Imaging
[12] University Medical Center Groningen,Department of Nuclear Medicine
[13] University of Southern Denmark,undefined
来源
European Journal of Nuclear Medicine and Molecular Imaging | 2020年 / 47卷
关键词
PET/CT; Whole-body; Scatter correction; Attenuation correction; Deep learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2533 / 2548
页数:15
相关论文
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