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Denoising MR Spectroscopic Imaging Data With Low-Rank Approximations
This paper addresses the denoising problem associated with magnetic resonance spectroscopic imaging (MRSI), where signal-to-noise ratio (SNR) has been a critical problem. A new scheme is proposed, which exploits two low-rank structures that exist in MRSI data, one due to partial separability and the...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3800688/ https://ncbi.nlm.nih.gov/pubmed/23070291 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2012.2223466 |
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