Open-access template and database approaches for pseudo-CT generation in brain PET/MRI attenuation correction
Christian Milz, Matej Murgaš, Inès Mérida, L. Silberbauer, Lukas Nics, Godber Mathis Godbersen, Gregor Gryglewski, Marcus Hacker, Nicolas Costes, Alexander Hammers, Rupert R. Lanzenberger, Andreas Hahn, Murray Bruce Reed
The paper presents an open-access framework for PET attenuation correction using pseudo-CT methods with a database of MRI-CT scans, showing that UCL achieves the lowest quantification error.
NeuroImage · Sep 11, 2026Peer-reviewedNeuroscience