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Improved PET/MRI attenuation correction in the pelvic region using a statistical decomposition method on T2-weighted images
BACKGROUND: Attenuation correction of PET/MRI is a remaining problem for whole-body PET/MRI. The statistical decomposition algorithm (SDA) is a probabilistic atlas-based method that calculates synthetic CTs from T2-weighted MRI scans. In this study, we evaluated the application of SDA for attenuatio...
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| Udgivet i: | EJNMMI Phys |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer International Publishing
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7683750/ https://ncbi.nlm.nih.gov/pubmed/33226495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40658-020-00336-5 |
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