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Removal of Nuisance Signals from Limited and Sparse (1)H MRSI Data Using a Union-of-Subspaces Model
PURPOSE: To remove nuisance signals (e.g., water and lipid signals) for (1)H MRSI data collected from the brain with limited and/or sparse (k, t)-space coverage. METHODS: A union-of-subspace model is proposed for removing nuisance signals. The model exploits the partial separability of both the nuis...
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| Gepubliceerd in: | Magn Reson Med |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2015
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4567537/ https://ncbi.nlm.nih.gov/pubmed/25762370 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.25635 |
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