Metal artifact reduction in kV CT images throughout two-step sequential deep convolutional neural networks by combining multi-modal imaging (MARTIAN)

This work attempted to construct a new metal artifact reduction (MAR) framework in kilo-voltage (kV) computed tomography (CT) images by combining (1) deep learning and (2) multi-modal imaging, defined as MARTIAN (Metal Artifact Reduction throughout Two-step sequentIAl deep convolutional neural Netwo...

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Detalles Bibliográficos
Autores principales: Kim, Hojin, Yoo, Sang Kyun, Kim, Dong Wook, Lee, Ho, Hong, Chae-Seon, Han, Min Cheol, Kim, Jin Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718791/
https://www.ncbi.nlm.nih.gov/pubmed/36460784
http://dx.doi.org/10.1038/s41598-022-25366-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718791/
https://www.ncbi.nlm.nih.gov/pubmed/36460784
http://dx.doi.org/10.1038/s41598-022-25366-0

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