A deep learning-based whole-body solution for PET/MRI attenuation correction
Deep convolutional neural networks have demonstrated robust and reliable PET attenuation correction (AC) as an alternative to conventional AC methods in integrated PET/MRI systems. However, its whole-body impl...
Source: EJNMMI Physics - Category: Radiology Authors: Sahar Ahangari, Anders Beck Olin, Marianne Kingg ård Federspiel, Bjoern Jakoby, Thomas Lund Andersen, Adam Espe Hansen, Barbara Malene Fischer and Flemming Littrup Andersen Tags: Original research Source Type: research