Cone Beam Computed Tomography Image Quality Improvement Using a Deep Convolutional Neural Network

Introduction Cone beam computed tomography (CBCT) plays an important role in image-guided radiation therapy (IGRT), while having disadvantages of severe shading artifact caused by the reconstruction using scatter contaminated and truncated projections. The purpose of this study is to develop a deep...

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Detalles Bibliográficos
Autores principales: Kida, Satoshi, Nakamoto, Takahiro, Nakano, Masahiro, Nawa, Kanabu, Haga, Akihiro, Kotoku, Jun'ichi, Yamashita, Hideomi, Nakagawa, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2018
Materias:
Medical Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021187/
https://www.ncbi.nlm.nih.gov/pubmed/29963342
http://dx.doi.org/10.7759/cureus.2548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021187/
https://www.ncbi.nlm.nih.gov/pubmed/29963342
http://dx.doi.org/10.7759/cureus.2548

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