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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...

詳細記述

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書誌詳細
出版年:Korean J Radiol
主要な著者: Lee, Sang Min, Lee, June-Goo, Lee, Gaeun, Choe, Jooae, Do, Kyung-Hyun, Kim, Namkug, Seo, Joon Beom
フォーマット: Artigo
言語:Inglês
出版事項: The Korean Society of Radiology 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6342751/
https://ncbi.nlm.nih.gov/pubmed/30672169
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2018.0249
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