Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study

OBJECTIVE: To generate synthetic spine magnetic resonance (MR) images from spine computed tomography (CT) using generative adversarial networks (GANs), as well as to determine the similarities between synthesized and real MR images. METHODS: GANs were trained to transform spine CT image slices into...

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Detalles Bibliográficos
Autores principales: Lee, Jung Hwan, Han, In Ho, Kim, Dong Hwan, Yu, Seunghan, Lee, In Sook, Song, You Seon, Joo, Seongsu, Jin, Cheng-Bin, Kim, Hakil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neurosurgical Society 2020
Materias:
Laboratory Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218205/
https://www.ncbi.nlm.nih.gov/pubmed/31931556
http://dx.doi.org/10.3340/jkns.2019.0084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218205/
https://www.ncbi.nlm.nih.gov/pubmed/31931556
http://dx.doi.org/10.3340/jkns.2019.0084

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