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Improved parallel magnetic resonance imaging reconstruction with multiple variable density sampling
Generalized auto-calibrating partially parallel acquisitions (GRAPPA) and other parallel Magnetic Resonance Imaging (pMRI) methods restore the unacquired data in k-space by linearly calculating the undersampled data around the missing points. In order to obtain the weight of the linear calculation,...
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| 出版年: | Sci Rep |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8076203/ https://ncbi.nlm.nih.gov/pubmed/33903702 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-88567-z |
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