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Statistical analysis of noise in MRI : modeling, filtering and estimation

Author: Santiago Aja-Fernández; Gonzalo Vegas-Sánchez-Ferrero
Publisher: Switzerland : Springer, 2016.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This unique text/reference presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques drawn from more than ten years of research in this area. Topics and features: Provides a complete framework for the modeling and analysis of noise in MRI, considering  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Santiago Aja-Fernández; Gonzalo Vegas-Sánchez-Ferrero
ISBN: 9783319399348 3319399349 3319399330 9783319399331
OCLC Number: 953581667
Description: 1 online resource (xxi, 327 pages) : illustrations (some color)
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.
Responsibility: Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero.

Abstract:

This unique text presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and  Read more...

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