Titlebook: Statistical Analysis of Noise in MRI; Modeling, Filtering Santiago Aja-Fernández,Gonzalo Vegas-Sánchez-Ferre Book 2016 Springer Internatio

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Acquisition and Reconstruction of Magnetic Resonance Imaginginto one single magnitude image: the sum of squares (SoS) and the spatial matched filter (SMF). The chapter concludes with the analysis of some parallel MRI methods, focusing on two of the most used ones, SENSE and GRAPPA.

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Noise Analysis in MRI: Overviewmodel; the stationarity of the data; the use of the background in estimation; how the quantification of the data can alter the estimation or the use of multiple samples. Additionally, a practical scheme to effectively estimate noise out of MRI is proposed.

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Foreknowledge

Parametric Noise Analysis in Parallel MRImodels for noise are known and some parameters of those models are assumed to be known beforehand: the sensitivity maps of each receiver coil, the reconstruction weights, and the correlation among coils. Although we only focus on two pMRI methods, the results here presented are easily extrapolated to other parallel algorithms.

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Santiago Aja-Fernández,Gonzalo Vegas-Sánchez-Ferrero follows the first edition per request by a great variety of.Paleopalynology, second edition, provides profusely illustrated treatment of fossil palynomorphs, including spores, pollen, dinoflagellate cysts, acritarchs, chitinozoans, scolecodonts, and various microscopic fungal and algal dispersal bo

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