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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
THERAPEUTIC INTERVENTIONS
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

Internet

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

Ejemplares similares