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Attenuation Correction for Brain PET Imaging Using Deep Neural Network Based on Dixon and ZTE MR Images
Positron Emission Tomography (PET) is a functional imaging modality widely used in neuroscience studies. To obtain meaningful quantitative results from PET images, attenuation correction is necessary during image reconstruction. For PET/MR hybrid systems, PET attenuation is challenging as Magnetic R...
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| 出版年: | Phys Med Biol |
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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/PMC6031313/ https://ncbi.nlm.nih.gov/pubmed/29790857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aac763 |
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