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

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Product Code: 9783319399331
ISBN13: 9783319399331
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$190.78

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

$190.78
 
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 usefulMRI datasets.


Author: Santiago Aja-Fern?ndez
Publisher: Springer
Publication Date: Jul 27, 2016
Number of Pages: 327 pages
Binding: Hardback or Cased Book
ISBN-10: 3319399330
ISBN-13: 9783319399331
 

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