Statistical Analysis of Noise in MRI

版本说明：1

作     者：Santiago Aja-Fernández Gonzalo Vegas-Sánchez-Ferrero 

I S B N：(纸本) 9783319399331;9783319820002 

出 版 社：Springer Cham 

出 版 年：1000年

页      数：XXI, 327页

主 题 词：Probability and Statistics in Computer Science Statistics for Life Sciences, Medicine, Health Sciences Image Processing and Computer Vision Simulation and Modeling Biomedical Engineering and Bioengineering 

摘      要：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.