Pseudo dual-energy CT-derived iodine mapping using single-energy CT data based on a convolution neural network

OBJECTIVE: The objectives of this study are: (1) to develop a convolutional neural network model that yields pseudo high-energy CT (CT(pseudo_high)) from simple image processed low-energy CT (CT(low)) images, and (2) to create a pseudo iodine map (IM(pseudo)) and pseudo virtual non-contrast (VNC(pse...

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Detalles Bibliográficos
Autores principales: Yuasa, Yuki, Shiinoki, Takehiro, Fujimoto, Koya, Tanaka, Hidekazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630979/
https://www.ncbi.nlm.nih.gov/pubmed/37942496
http://dx.doi.org/10.1259/bjro.20220059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630979/
https://www.ncbi.nlm.nih.gov/pubmed/37942496
http://dx.doi.org/10.1259/bjro.20220059

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