Santiago Aja-Fernández & Gonzalo Vegas-Sánchez-Ferrero 
Statistical Analysis of Noise in MRI [PDF ebook] 
Modeling, Filtering and Estimation

Destek

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.

€160.49
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İçerik tablosu

The Problem of Noise in MRI.-  Part I: Noise Models and the Noise Analysis Problem .- Acquisition and Reconstruction of Magnetic Resonance Imaging.- Statistical Noise Models for MRI.- Noise Analysis in MRI: Overview.- Noise Filtering in MRI.-  Part II: Noise Analysis in Non-Accelerated Acquisitions .- Noise Estimation in the Complex Domain.- Noise Estimation in Single-Coil MR Data.- Noise Estimation in Multiple-Coil MR Data.- Parametric Noise Analysis from Correlated Multiple-Coil MR Data.-  Part III: Noise Estimators in p MRI .- Parametric Noise Analysis in Parallel MRI.- Blind Estimation of Non-Stationary Noise in MRI.- Appendix A: Probability Distributions and Combination of Random Variables.- Appendix B: Variance Stabilizing Transformation.- Appendix C: Data Sets Used in the Experiments.

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Dil İngilizce ● Biçim PDF ● Sayfalar 327 ● ISBN 9783319399348 ● Dosya boyutu 15.2 MB ● Yayımcı Springer International Publishing ● Kent Cham ● Ülke CH ● Yayınlanan 2016 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 4918092 ● Kopya koruma Sosyal DRM

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