Whole-body PET image denoising for reduced acquisition time
The best model for PET denoising is 3D MedNeXt. It improved SSIM on 38.2% and RMSE on 28.1% in 30-s PET denoising and on 16.9% and 11.4% in 60-s PET denoising when compared to the original 90-s PET reducing at the same time SUVmax discrepancy dispersion.
Authors
- Stepan Kudin
- Ivan Kruzhilov (ORCID: https://orcid.org/0000-0003-1220-744X)
- Elena Sokolova (ORCID: https://orcid.org/0000-0002-2001-8772)
- Luka Vetoshkin
- Vladimir Kokh (ORCID: https://orcid.org/0000-0002-9257-0259)
Institutions
- Moscow Institute of Physics and Technology (RU)
- Moscow Power Engineering Institute (RU)
- Research Institute of Therapy and Preventive Medicine (RU)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-09-30
- DOI
- https://doi.org/10.3389/fmed.2024.1415058
- Citations
- 6
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.43