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Modeling non-stationarity of kernel weights for k-space reconstruction in partially parallel imaging
Purpose: In partially parallel imaging, most k-space-based reconstruction algorithms such as GRAPPA adopt a single finite-size kernel to approximate the true relationship between sampled and nonsampled signals. However, the estimation of this kernel based on k-space signals is imperfect, and the aut...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3172865/ https://ncbi.nlm.nih.gov/pubmed/21928649 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3611075 |
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