Using RegGAN to generate synthetic CT images from CBCT images acquired with different linear accelerators

BACKGROUND: The goal was to investigate the feasibility of the registration generative adversarial network (RegGAN) model in image conversion for performing adaptive radiation therapy on the head and neck and its stability under different cone beam computed tomography (CBCT) models. METHODS: A total...

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Detalles Bibliográficos
Autores principales: Li, Zhenkai, Zhang, Qingxian, Li, Haodong, Kong, Lingke, Wang, Huadong, Liang, Benzhe, Chen, Mingming, Qin, Xiaohang, Yin, Yong, Li, Zhenjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478281/
https://www.ncbi.nlm.nih.gov/pubmed/37670252
http://dx.doi.org/10.1186/s12885-023-11274-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478281/
https://www.ncbi.nlm.nih.gov/pubmed/37670252
http://dx.doi.org/10.1186/s12885-023-11274-7

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