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Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints
Recent developments in highly accelerated fMRI data acquisition have employed low-rank and/or sparsity constraints for image reconstruction, as an alternative to conventional, time-independent parallel imaging. When under-sampling factors are high or the signals of interest are low-variance, however...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953310/ https://www.ncbi.nlm.nih.gov/pubmed/29501875 http://dx.doi.org/10.1016/j.neuroimage.2018.02.062 |