Statistical Analysis of Noise in MRI - Modeling, Filtering and Estimation (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2016
First published:	2016
Authors:	Santiago Aja-Fernandez • Gonzalo Vegas-Sanchez-Ferrero
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	327
Edition:	1st ed. 2016
ISBN-13:	978-3-319-39933-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Computer software packages > Computer graphics software > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-319-39933-0
Barcode:	9783319399331

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