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MRI‐guided attenuation correction in torso PET/MRI: Assessment of segmentation‐, atlas‐, and deep learning‐based approaches in the presence of outliers
PURPOSE: We compare the performance of three commonly used MRI‐guided attenuation correction approaches in torso PET/MRI, namely segmentation‐, atlas‐, and deep learning‐based algorithms. METHODS: Twenty‐five co‐registered torso (18)F‐FDG PET/CT and PET/MR images were enrolled. PET attenuation maps...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292636/ https://www.ncbi.nlm.nih.gov/pubmed/34480771 http://dx.doi.org/10.1002/mrm.29003 |