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Statistical Analysis of Noise in MRI: Modeling, Filtering and Estimation 2016 Edition
Contributor(s): Aja-Fernández, Santiago (Author), Vegas-Sánchez-Ferrero, Gonzalo (Author)

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ISBN: 3319399330     ISBN-13: 9783319399331
Publisher: Springer
OUR PRICE: $161.49  

Binding Type: Hardcover - See All Available Formats & Editions
Published: July 2016
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Additional Information
BISAC Categories:
- Computers | Mathematical & Statistical Software
- Computers | Computer Graphics
- Computers | Computer Simulation
Dewey: 003.3
Physical Information: 0.95" H x 6.22" W x 9.52" L (1.81 lbs) 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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