: Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero
: Statistical Analysis of Noise in MRI Modeling, Filtering and Estimation
: Springer-Verlag
: 9783319399348
: 1
: CHF 143.10
:
: Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
: English
: 327
: Wasserzeichen
: PC/MAC/eReader/Tablet
: PDF
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.