CBCT-based synthetic CT generated using CycleGAN with HU correction for adaptive radiotherapy of nasopharyngeal carcinoma

This study aims to utilize a hybrid approach of phantom correction and deep learning for synthesized CT (sCT) images generation based on cone-beam CT (CBCT) images for nasopharyngeal carcinoma (NPC). 52 CBCT/CT paired images of NPC patients were used for model training (41), validation (11). Hounsfi...

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Detalles Bibliográficos
Autores principales: Jihong, Chen, Kerun, Quan, Kaiqiang, Chen, Xiuchun, Zhang, Yimin, Zhou, penggang, Bai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125979/
https://www.ncbi.nlm.nih.gov/pubmed/37095147
http://dx.doi.org/10.1038/s41598-023-33472-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125979/
https://www.ncbi.nlm.nih.gov/pubmed/37095147
http://dx.doi.org/10.1038/s41598-023-33472-w

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