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Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy

Objective: To generate synthetic CT (sCT) images with high quality from CBCT and planning CT (pCT) for dose calculation by using deep learning methods. Methods: 169 NPC patients with a total of 20926 slices of CBCT and pCT images were included. In this study the CycleGAN, Pix2pix and U-Net models we...

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Detalles Bibliográficos
Autores principales:	Xue, Xudong, Ding, Yi, Shi, Jun, Hao, Xiaoyu, Li, Xiangbin, Li, Dan, Wu, Yuan, An, Hong, Jiang, Man, Wei, Wei, Wang, Xiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2021
Materias:	Technical Note
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649448/ https://www.ncbi.nlm.nih.gov/pubmed/34851204 http://dx.doi.org/10.1177/15330338211062415

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