Evaluation of an image-derived input function for kinetic modeling of nicotinic acetylcholine receptor-binding PET ligands
Matthew D. Zammit, Chien-Min Kao, Hannah J. Zhang, Nathanial Holderman, Samuel J. Mitchell, Eve Tanios, Vincent Zhang, Mohammed P. I. Bhuiyan, Richard H. Freifelder, William N. Green, Jogeshwar Mukherjee, Chin-Tu Chen
This study evaluates an image-derived input function for PET ligand kinetic modeling in mice, showing improved quantification compared to reference tissue methods for nicotinic receptor-binding tracers.
bioRxiv · Aug 5, 2022 · PreprintNeuroscience