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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Detalles Bibliográficos
Autores principales: Wallstén, Elin, Axelsson, Jan, Jonsson, Joakim, Karlsson, Camilla Thellenberg, Nyholm, Tufve, Larsson, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683750/
https://www.ncbi.nlm.nih.gov/pubmed/33226495
http://dx.doi.org/10.1186/s40658-020-00336-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683750/
https://www.ncbi.nlm.nih.gov/pubmed/33226495
http://dx.doi.org/10.1186/s40658-020-00336-5

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