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...
שמור ב:
| מחבר ראשי: | |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Sciendo
2016-03-01
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| סדרה: | Nukleonika |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1515/nuka-2016-0003 |
| תגים: |
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