Statistical Analysis of Noise in MRI
Gonzalo Vegas-Sánchez-Ferrero, Santiago Aja-Fernández
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
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.
Kundenbewertungen
Parallel Imaging, Noise Modeling, Estimation, MRI, Signal Processing