Global and local information‐based prostate image registration of prostate‐specific membrane antigen PET/CT and enhanced MRI

This study presents GLNet, a deep learning-based non-rigid registration network that fuses PSMA PET/CT and contrast-enhanced MRI. GLNet outperforms existing methods in registration accuracy and lesion detection, thereby offering a promising approach for integrating structural and functional imaging in clinical PCa diagnosis.