Facilitating MR-Guided Adaptive Proton Therapy in Children Using Deep Learning-Based Synthetic CT

PURPOSE: To determine whether self-attention cycle-generative adversarial networks (cycle-GANs), a novel deep-learning method, can generate accurate synthetic computed tomography (sCT) to facilitate adaptive proton therapy in children with brain tumors. MATERIALS AND METHODS: Both CT and T1-weighted...

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Detalles Bibliográficos
Autores principales: Wang, Chuang, Uh, Jinsoo, Merchant, Thomas E., Hua, Chia-ho, Acharya, Sahaja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Particle Therapy Co-operative Group 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8768893/
https://www.ncbi.nlm.nih.gov/pubmed/35127971
http://dx.doi.org/10.14338/IJPT-20-00099.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8768893/
https://www.ncbi.nlm.nih.gov/pubmed/35127971
http://dx.doi.org/10.14338/IJPT-20-00099.1

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