Statistical Analysis of Noise in MRI: Modeling, Filtering and Estimation

Author:   Santiago Aja-Fernández ,  Gonzalo Vegas-Sánchez-Ferrero
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319399331


Pages:   327
Publication Date:   27 July 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Statistical Analysis of Noise in MRI: Modeling, Filtering and Estimation


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Author:   Santiago Aja-Fernández ,  Gonzalo Vegas-Sánchez-Ferrero
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.40cm , Length: 23.50cm
Weight:   7.143kg
ISBN:  

9783319399331


ISBN 10:   3319399330
Pages:   327
Publication Date:   27 July 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

The Problem of Noise in MRI.- Part I: Noise Models and the Noise Analysis Problem.- Acquisition and Reconstruction of Magnetic Resonance Imaging.- Statistical Noise Models for MRI.- Noise Analysis in MRI: Overview.- Noise Filtering in MRI.- Part II: Noise Analysis in Non-Accelerated Acquisitions.- Noise Estimation in the Complex Domain.- Noise Estimation in Single-Coil MR Data.- Noise Estimation in Multiple-Coil MR Data.- Parametric Noise Analysis from Correlated Multiple-Coil MR Data.- Part III: Noise Estimators in pMRI.- Parametric Noise Analysis in Parallel MRI.- Blind Estimation of Non-Stationary Noise in MRI.- Appendix A: Probability Distributions and Combination of Random Variables.- Appendix B: Variance Stabilizing Transformation.- Appendix C: Data Sets Used in the Experiments.

Reviews

The book is presented in a simple and lucid manner, starting with the basics of MRI noise and its analysis with simple models, progressing to an analysis using complex models and the noise issues in multi-coil and parallel acquisition schemes. Overall the book is self-contained to help the beginners ... . (Pramod Kumar Pisharady, IAPR Newsletter , Vol. 40 (2), 2018)


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