Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners
Titel:
Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners
Auteur:
Sari, Hasan Teimoorisichani, Mohammadreza Mingels, Clemens Alberts, Ian Panin, Vladimir Bharkhada, Deepak Xue, Song Prenosil, George Shi, Kuangyu Conti, Maurizio Rominger, Axel
Verschenen in:
European journal of nuclear medicine and molecular imaging