ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients

Background and purpose: In radiotherapy, dose calculations based on 4D cone beam CTs (4DCBCTs) require image intensity corrections. This retrospective study compared the dose calculation accuracy of a deep learning, projection-based scatter correction workflow (ScatterNet), to slower workflows: conv...

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Detalles Bibliográficos
Autores principales: Schmitz, Henning, Thummerer, Adrian, Kawula, Maria, Lombardo, Elia, Parodi, Katia, Belka, Claus, Kamp, Florian, Kurz, Christopher, Landry, Guillaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480315/
https://www.ncbi.nlm.nih.gov/pubmed/37680905
http://dx.doi.org/10.1016/j.phro.2023.100482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480315/
https://www.ncbi.nlm.nih.gov/pubmed/37680905
http://dx.doi.org/10.1016/j.phro.2023.100482

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