DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms
Published inNeuroImage, vol. 245, 118697
Publication date2021-12
Abstract
Keywords
- Brain imaging
- Deep learning
- Low-dose imaging
- PET/CT
- Time-of-flight
Research groups
Funding
- European commission - EUREKA - Eurostars Programme [E! 114021]
- Private Foundation of Geneva University Hospitals - [RC-06-01]
- Swiss National Science Foundation - Towards patient-specific hybrid whole-body PET parametric imaging [176052]
Citation (ISO format)
SANAAT, Amirhossein et al. DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms. In: NeuroImage, 2021, vol. 245, p. 118697. doi: 10.1016/j.neuroimage.2021.118697
Main files (1)
Article (Published version)
Secondary files (1)
Identifiers
- PID : unige:156377
- DOI : 10.1016/j.neuroimage.2021.118697
- PMID : 34742941
ISSN of the journal1053-8119