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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,...
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| 出版年: | Med Phys |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 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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