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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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Bibliografske podrobnosti
Main Authors: Miao, Jun, Wong, Wilbur C. K., Narayan, Sreenath, Huo, Donglai, Wilson, David L.
Format: Artigo
Jezik:Inglês
Izdano: American Association of Physicists in Medicine 2011
Teme:
Online dostop: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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