Statistical Analysis of Noise in MRI: Modeling, Filtering and Estimation Softcover Repri Edition Contributor(s): Aja-Fernández, Santiago (Author), Vegas-Sánchez-Ferrero, Gonzalo (Author) |
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ISBN: 3319820001 ISBN-13: 9783319820002 Publisher: Springer
Binding Type: Paperback - See All Available Formats & Editions Published: May 2018 |
Additional Information |
BISAC Categories: - Computers | Mathematical & Statistical Software - Computers | Computer Graphics - Computers | Computer Simulation |
Dewey: 003.3 |
Physical Information: 327 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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 varied estimation and filtering techniques. Features: provides a complete framework for the modeling and analysis of noise in MRI, considering different modalities and acquisition techniques; describes noise and signal estimation for MRI from a statistical signal processing perspective; surveys the different methods to remove noise in MRI acquisitions from a practical point of view; reviews different techniques for estimating noise from MRI data in single- and multiple-coil systems for fully sampled acquisitions; examines the issue of noise estimation when accelerated acquisitions are considered, and parallel imaging methods are used to reconstruct the signal; includes appendices covering probability density functions, combinations of random variables used to derive estimators, and useful MRI datasets. |
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