U-TTT Adapts PET Denoising Models at Inference Time to Handle Distribution Shifts

U-TTT integrates Test-Time Training layers into a U-shaped architecture for 3D PET image denoising, dynamically adjusting parameters during inference via self-supervision to handle scanner and dose-level distribution shifts without retraining.