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Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer
PURPOSE: Adaptive proton therapy (APT) of lung cancer patients requires frequent volumetric imaging of diagnostic quality. Cone‐beam CT (CBCT) can provide these daily images, but x‐ray scattering limits CBCT‐image quality and hampers dose calculation accuracy. The purpose of this study was to genera...
Autores principales: | Thummerer, Adrian, Seller Oria, Carmen, Zaffino, Paolo, Meijers, Arturs, Guterres Marmitt, Gabriel, Wijsman, Robin, Seco, Joao, Langendijk, Johannes Albertus, Knopf, Antje‐Christin, Spadea, Maria Francesca, Both, Stefan |
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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/PMC9299115/ https://www.ncbi.nlm.nih.gov/pubmed/34725829 http://dx.doi.org/10.1002/mp.15333 |
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