Deep learning for Dixon MRI-based attenuation correction in PET/MRI of head and neck cancer patients

被引：0
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作者：
Anders B. Olin
Adam E. Hansen
Jacob H. Rasmussen
Björn Jakoby
Anne K. Berthelsen
Claes N. Ladefoged
Andreas Kjær
Barbara M. Fischer
Flemming L. Andersen
机构：
[1] University of Copenhagen,Department of Clinical Physiology, Nuclear Medicine and PET & Cluster for Molecular Imaging, Rigshospitalet
[2] University of Copenhagen,Faculty of Health and Medical Science
[3] University of Copenhagen,Department of Radiology, Rigshospitalet
[4] University of Copenhagen,Department of Otorhinolaryngology, Head and Neck Surgery and Audiology, Rigshospitalet
[5] Siemens Healthcare GmbH,Department of Oncology, Section of Radiotherapy, Rigshospitalet
[6] University of Surrey,King’s College London and Guy’s and St Thomas’ PET Centre, School of Biomedical Engineering and Imaging Sciences, King’s College London
[7] University of Copenhagen,undefined
[8] King’s Health Partners,undefined
来源：
EJNMMI Physics | / 9卷
关键词：
PET/MRI; MR-AC; Deep learning; Head and neck cancer;
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