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Assessment of the Deep Learning-based Attenuation Correctio..:
, In:
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
,
Giv, Masoumeh Dorri
;
Kakhki, Vahid Reza Dabbagh
;
Noroozbeigi, Nasim
... - p. 1-3 , 2022
Link:
https://doi.org/10.1109/NSS/MIC44845.2022.10398951
RT T1
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
: T1
Assessment of the Deep Learning-based Attenuation Correction in the Image Domain for 68Ga-PSMA PET Imaging using Artifact-free Dataset
UL https://suche.suub.uni-bremen.de/peid=ieee-10398951&Exemplar=1&LAN=DE A1 Giv, Masoumeh Dorri A1 Kakhki, Vahid Reza Dabbagh A1 Noroozbeigi, Nasim A1 Golestani, Zahra Bakhshi A1 Aghaee, Atena A1 Dadgar, Habibollah A1 Mostafapour, Samaneh A1 Arabi, Hossein A1 Zaidi, Habib YR 2022 SN 2577-0829 K1 Training K1 Image quality K1 Purification K1 Attenuation K1 Task analysis K1 Standards K1 Photonics SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/NSS/MIC44845.2022.10398951 DO https://doi.org/10.1109/NSS/MIC44845.2022.10398951 SF ELIB - SuUB Bremen
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