Independent attenuation correction of whole body [(18)F]FDG-PET using a deep learning approach with Generative Adversarial Networks

BACKGROUND: Attenuation correction (AC) of PET data is usually performed using a second imaging for the generation of attenuation maps. In certain situations however—when CT- or MR-derived attenuation maps are corrupted or CT acquisition solely for the purpose of AC shall be avoided—it would be of v...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:EJNMMI Res
Hauptverfasser: Armanious, Karim, Hepp, Tobias, Küstner, Thomas, Dittmann, Helmut, Nikolaou, Konstantin, La Fougère, Christian, Yang, Bin, Gatidis, Sergios
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer Berlin Heidelberg 2020
Schlagworte:
Original Research
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7246235/
https://ncbi.nlm.nih.gov/pubmed/32449036
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13550-020-00644-y
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge