Sangtae Ahn1, Lishui Cheng1, Dattesh Shanbhag2, and Florian Wiesinger3
1GE Global Research, Niskayuna, NY, United States, 2GE Global Research, Bangalore, India, 3GE Global Research, Munich, Germany
PET attenuation correction is critical to accurate
PET quantitation. For hybrid PET/MR imaging, MR-based attenuation correction (MRAC)
has challenges in implants, internal air, bones and lung regions where MR
signals are low. To address the challenges and improve robustness and accuracy
of MRAC, a joint estimation algorithm with MR-based priors is implemented where
prior weights are spatially modulated, providing great flexibility to users.
The JE algorithm was applied to whole-body clinical TOF PET/MR data and it was
demonstrated that the algorithm can recover the attenuation of implants,
abdominal air and lungs in a robust way.
