Data-driven motion compensation of [18F]FDG-PET brain imaging using conditional Generative Adversial Networks (cGANs)

被引：0

作者：

Iommi, D. ^{[1
]}

Sundar, L. Shiyam ^{[1
]}

Muzik, O. ^{[2
]}

Chalampalakis, Z. ^{[3
]}

Klebermass, E. M. ^{[4
]}

Hienert, M. ^{[5
]}

Rischka, L. ^{[5
]}

Lanzenberger, R. ^{[5
]}

Hahn, A. ^{[5
]}

Pataraia, E. ^{[6
]}

Traub-Weidinger, T. ^{[4
]}

Beyer, T. ^{[1
]}

机构：

[1] Med Univ Vienna, Ctr Med Phys & Biomed Engn, QIMP Team, Vienna, Austria

[2] Wayne State Univ, Sch Med, Childrens Hosp Michigan, Dept Pediat,Detroit Med Ctr, Detroit, MI USA

[3] Univ Paris Saclay, Univ Paris Sud, Serv Hosp Freder Joliot, CEA,Inserm,CNRS, Orsay, France

[4] Med Univ Vienna, Div Nucl Med, Dept Biomed Imaging & Image Guided Therapy, Vienna, Austria

[5] Med Univ Vienna, Dept Psychiat & Psychotherapy, Vienna, Austria

[6] Med Univ Vienna, Dept Neurol, Vienna, Austria

来源：

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2020年 / 47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：

OP-972

引用

页码：S484 / S485

页数：2

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