Compressed sensing in MRI – mathematical preliminaries and basic examples
In magnetic resonance imaging (MRI), k-space sampling, due to physical restrictions, is very time-consuming. It cannot be much improved using classical Nyquist-based sampling theory. Recent developments utilize the fact that MR images are sparse in some representations (i.e. wavelet coefficients). T...
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| Format: | Article |
| Language: | English |
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Sciendo
2016-03-01
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| Series: | Nukleonika |
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| Online Access: | https://doi.org/10.1515/nuka-2016-0003 |