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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Gepubliceerd in:EJNMMI Phys
Hoofdauteurs: Wallstén, Elin, Axelsson, Jan, Jonsson, Joakim, Karlsson, Camilla Thellenberg, Nyholm, Tufve, Larsson, Anne
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Springer International Publishing 2020
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Original Research
Online toegang: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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