CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network

OBJECTIVE: The aim of our study was to develop and validate a convolutional neural network (CNN) architecture to convert CT images reconstructed with one kernel to images with different reconstruction kernels without using a sinogram. MATERIALS AND METHODS: This retrospective study was approved by t...

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Detalles Bibliográficos
Autores principales: Lee, Sang Min, Lee, June-Goo, Lee, Gaeun, Choe, Jooae, Do, Kyung-Hyun, Kim, Namkug, Seo, Joon Beom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2019
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342751/
https://www.ncbi.nlm.nih.gov/pubmed/30672169
http://dx.doi.org/10.3348/kjr.2018.0249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342751/
https://www.ncbi.nlm.nih.gov/pubmed/30672169
http://dx.doi.org/10.3348/kjr.2018.0249

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