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Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy
BACKGROUND: Time‐resolved 4D cone beam–computed tomography (4D‐CBCT) allows a daily assessment of patient anatomy and respiratory motion. However, 4D‐CBCTs suffer from imaging artifacts that affect the CT number accuracy and prevent accurate proton dose calculations. Deep learning can be used to cor...
Autores principales: | Thummerer, Adrian, Seller Oria, Carmen, Zaffino, Paolo, Visser, Sabine, 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.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087352/ https://www.ncbi.nlm.nih.gov/pubmed/35982630 http://dx.doi.org/10.1002/mp.15930 |
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