Overview
- Provides 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 different scanners and types of data
- Includes practical solutions for noise problems that can be directly implemented in MRI-related software
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Table of contents (11 chapters)
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Noise Models and the Noise Analysis Problem
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Noise Analysis in Nonaccelerated Acquisitions
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Noise Estimators in pMRI
Keywords
About this book
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Bibliographic Information
Book Title: Statistical Analysis of Noise in MRI
Book Subtitle: Modeling, Filtering and Estimation
Authors: Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero
DOI: https://doi.org/10.1007/978-3-319-39934-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Hardcover ISBN: 978-3-319-39933-1Published: 27 July 2016
Softcover ISBN: 978-3-319-82000-2Published: 31 May 2018
eBook ISBN: 978-3-319-39934-8Published: 12 July 2016
Edition Number: 1
Number of Pages: XXI, 327
Number of Illustrations: 73 b/w illustrations, 99 illustrations in colour
Topics: Probability and Statistics in Computer Science, Statistics for Life Sciences, Medicine, Health Sciences, Image Processing and Computer Vision, Simulation and Modeling, Biomedical Engineering and Bioengineering