A Deep Unsupervised Learning Model for Artifact Correction of Pelvis Cone-Beam CT

PURPOSE: In recent years, cone-beam computed tomography (CBCT) is increasingly used in adaptive radiation therapy (ART). However, compared with planning computed tomography (PCT), CBCT image has much more noise and imaging artifacts. Therefore, it is necessary to improve the image quality and HU acc...

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Detalles Bibliográficos
Autores principales: Dong, Guoya, Zhang, Chenglong, Liang, Xiaokun, Deng, Lei, Zhu, Yulin, Zhu, Xuanyu, Zhou, Xuanru, Song, Liming, Zhao, Xiang, Xie, Yaoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327750/
https://www.ncbi.nlm.nih.gov/pubmed/34350115
http://dx.doi.org/10.3389/fonc.2021.686875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327750/
https://www.ncbi.nlm.nih.gov/pubmed/34350115
http://dx.doi.org/10.3389/fonc.2021.686875

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