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Technical Note: Deep learning based MRAC using rapid ultra-short echo time imaging

PURPOSE: In this study, we explore the feasibility of a novel framework for MR-based attenuation correction for PET/MR imaging based on deep learning via convolutional neural networks, which enables fully automated and robust estimation of a pseudo CT image based on ultrashort echo time (UTE), fat,...

詳細記述

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書誌詳細
出版年:Med Phys
主要な著者: Jang, Hyungseok, Liu, Fang, Zhao, Gengyan, Bradshaw, Tyler, McMillan, Alan B
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6443501/
https://ncbi.nlm.nih.gov/pubmed/29763997
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12964
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