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

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d to reconstruct the signal; includes appendices covering probability density functions, combinations of random variables used to derive estimators, and usefulMRI datasets.978-3-319-82000-2978-3-319-39934-8

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https://doi.org/10.1007/978-3-319-39934-8MRI; Noise Modeling; Signal Processing; Parallel Imaging; Estimation

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Santiago Aja-Fernández,Gonzalo Vegas-Sánchez-FerreProvides comprehensive coverage of the field within a single, unified framework.Presents a unique overview of the various techniques for noise estimation, explaining which method is best applied for d

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Acquisition and Reconstruction of Magnetic Resonance Imaging signal and noise used along the book; the statistical models defined in following chapters are based on the premises here set. We especially focus on modeling the .-space and .-space from a signal processing point of view. Sequences and specifics on acquisition modalities will be left aside to conf