Deep learning synthesis of cone-beam computed tomography from zero echo time magnetic resonance imaging

Cone-beam computed tomography (CBCT) produces high-resolution of hard tissue even in small voxel size, but the process is associated with radiation exposure and poor soft tissue imaging. Thus, we synthesized a CBCT image from the magnetic resonance imaging (MRI), using deep learning and to assess it...

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Detalles Bibliográficos
Autores principales: Choi, Hyeyeon, Yun, Jong Pil, Lee, Ari, Han, Sang-Sun, Kim, Sang Woo, Lee, Chena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102229/
https://www.ncbi.nlm.nih.gov/pubmed/37055501
http://dx.doi.org/10.1038/s41598-023-33288-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102229/
https://www.ncbi.nlm.nih.gov/pubmed/37055501
http://dx.doi.org/10.1038/s41598-023-33288-8

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