Deep learning based synthetic CT from cone beam CT generation for abdominal paediatric radiotherapy

Objective. Adaptive radiotherapy workflows require images with the quality of computed tomography (CT) for re-calculation and re-optimisation of radiation doses. In this work we aim to improve the quality of on-board cone beam CT (CBCT) images for dose calculation using deep learning. Approach. We p...

Descripción completa

Detalles Bibliográficos
Autores principales: Szmul, Adam, Taylor, Sabrina, Lim, Pei, Cantwell, Jessica, Moreira, Isabel, Zhang, Ying, D’Souza, Derek, Moinuddin, Syed, Gaze, Mark N., Gains, Jennifer, Veiga, Catarina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160738/
https://www.ncbi.nlm.nih.gov/pubmed/36996837
http://dx.doi.org/10.1088/1361-6560/acc921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160738/
https://www.ncbi.nlm.nih.gov/pubmed/36996837
http://dx.doi.org/10.1088/1361-6560/acc921

Ejemplares similares