Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels.
Purpose: Whole-body PET imaging plays an essential role in cancer diagnosis and treatment but suffers from low image quality. Traditional deep learning-based denoising methods work well for a specific acquisition but are less effective in handling diverse PET protocols. In this study, we proposed an...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 7; pp. 2549 - 2563 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |