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Book synopsis

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.

Book details

Book category Books in English Medicine Nursing & ancillary services Biomedical engineering

• Full title: Statistical Analysis of Noise in MRI
• Subtitle: Modeling, Filtering and Estimation
• Author: Santiago Aja-Fernandez, Gonzalo Vegas-Sanchez-Ferrero
• Language: English
• Binding: Hardback
• Number of pages: 327
• EAN: 9783319399331
• ISBN: 9783319399331
• ID: 10929051
• Publisher: Springer International Publishing AG
• Weight: 718 g
• Dimensions: 243 × 163 × 23 mm
• Date of publishing: 12. July 2016

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