Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometries
<p>Abstract</p> <p>Background</p> <p>Compressive sensing can provide a promising framework for accelerating fMRI image acquisition by allowing reconstructions from a limited number of frequency-domain samples. Unfortunately, the majority of compressive sensing studies are based on stochastic samplin...
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| Principais autores: | , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
BMC
2012-05-01
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| 叢編: | BioMedical Engineering OnLine |
| 主題: | |
| 在線閱讀: | http://www.biomedical-engineering-online.com/content/11/1/25 |
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