Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure

被引:0
|
作者
Yan-Ran (Joyce) Wang
Lucia Baratto
K. Elizabeth Hawk
Ashok J. Theruvath
Allison Pribnow
Avnesh S. Thakor
Sergios Gatidis
Rong Lu
Santosh E. Gummidipundi
Jordi Garcia-Diaz
Daniel Rubin
Heike E. Daldrup-Link
机构
[1] Stanford University,Department of Radiology, Molecular Imaging Program at Stanford
[2] Stanford University,Department of Pediatrics, Pediatric Oncology, Lucile Packard Children’s Hospital
[3] University Hospital Tuebingen,Department of Diagnostic and Interventional Radiology
[4] Stanford University,Quantitative Sciences Unit, School of Medicine
来源
European Journal of Nuclear Medicine and Molecular Imaging | 2021年 / 48卷
关键词
Pediatric cancer imaging; PET/MRI; Whole-body PET reconstruction; PET denoising; Deep learning;
D O I
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中图分类号
学科分类号
摘要
引用
收藏
页码:2771 / 2781
页数:10
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