A Robust No-Reference Quality Assessment Method for PET Imaging Based on Dynamic Thresholding, Poisson-Aware Noise Modeling, and Multi-Dimensional Block-Level Feature Fusion
No-reference positron emission tomography (PET) image quality assessment remains challenging due to Poisson-distributed noise, strong foreground–background contrast, and scan-parameter–dependent signal variations. This study aims to develop a PET-specific, ad...
Poster Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine