Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero

eBook, PDF

Statistical Analysis of Noise in MRI (eBook, PDF)

Modeling, Filtering and Estimation

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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 14.86MB

Barrierefreiheit

• Text-to-Speech

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 327
• Erscheinungstermin: 12. Juli 2016
• Englisch
• ISBN-13: 9783319399348
• Artikelnr.: 46924934

Rezensionen

"The book is presented in a simple and lucid manner, starting with the basics of MRI noise and its analysis with simple models, progressing to an analysis using complex models and the noise issues in multi-coil and parallel acquisition schemes. Overall the book is self-contained to help the beginners ... ." (Pramod Kumar Pisharady, IAPR Newsletter , Vol. 40 (2), 2018)