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Fast Reconstruction for Multi-channel Compressed Sensing Using a Hierarchically Semiseparable Solver
PURPOSE: The adoption of multi-channel compressed sensing (CS) for clinical MRI hinges on the ability to accurately reconstruct images from an under-sampled dataset in a reasonable time frame. When CS is combined with SENSE parallel imaging, reconstruction can be computationally intensive. As an alt...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4167172/ https://ncbi.nlm.nih.gov/pubmed/24639238 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.25222 |
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