Deriving Pulmonary Ventilation Images From Clinical 4D-CBCT Using a Deep Learning-Based Model

PURPOSE: The current algorithms for measuring ventilation images from 4D cone-beam computed tomography (CBCT) are affected by the accuracy of deformable image registration (DIR). This study proposes a new deep learning (DL) method that does not rely on DIR to derive ventilation images from 4D-CBCT (...

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Detalles Bibliográficos
Autores principales: Liu, Zhiqiang, Tian, Yuan, Miao, Junjie, Men, Kuo, Wang, Wenqing, Wang, Xin, Zhang, Tao, Bi, Nan, Dai, Jianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109610/
https://www.ncbi.nlm.nih.gov/pubmed/35586492
http://dx.doi.org/10.3389/fonc.2022.889266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109610/
https://www.ncbi.nlm.nih.gov/pubmed/35586492
http://dx.doi.org/10.3389/fonc.2022.889266

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