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#pet-imaging News & Analysis

2 articles tagged with #pet-imaging. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Mar 57/10
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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.

AIBullisharXiv – CS AI · Mar 36/104
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MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising

Researchers developed MAP-Diff, a multi-anchor guided diffusion framework that improves 3D whole-body PET scan denoising by using intermediate-dose scans as trajectory anchors. The method achieves significant improvements in image quality metrics, increasing PSNR from 42.48 dB to 43.71 dB while reducing radiation exposure for patients.