3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising

Researchers developed WCC-Net, a 3D wavelet-based diffusion model that significantly improves low-dose PET imaging denoising while reducing patient radiation exposure. The AI framework uses frequency-domain structural priors to maintain anatomical accuracy and outperforms existing CNN, GAN, and diffusion baselines across multiple dose levels.