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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649448/
https://www.ncbi.nlm.nih.gov/pubmed/34851204
http://dx.doi.org/10.1177/15330338211062415

Ejemplares similares