Image synthesis of monoenergetic CT image in dual‐energy CT using kilovoltage CT with deep convolutional generative adversarial networks

PURPOSE: To synthesize a dual‐energy computed tomography (DECT) image from an equivalent kilovoltage computed tomography (kV‐CT) image using a deep convolutional adversarial network. METHODS: A total of 18,084 images of 28 patients are categorized into training and test datasets. Monoenergetic CT im...

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Detalles Bibliográficos
Autores principales: Kawahara, Daisuke, Ozawa, Shuichi, Kimura, Tomoki, Nagata, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Technical Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035569/
https://www.ncbi.nlm.nih.gov/pubmed/33599386
http://dx.doi.org/10.1002/acm2.13190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035569/
https://www.ncbi.nlm.nih.gov/pubmed/33599386
http://dx.doi.org/10.1002/acm2.13190

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