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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
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

Internet

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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