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Statistical Analysis of Noise in MRI Modeling, Filtering and Estimation von Aja-Fernández, Santiago (eBook)

  • Erscheinungsdatum: 12.07.2016
  • Verlag: Springer-Verlag
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Statistical Analysis of Noise in MRI

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.

Produktinformationen

    Format: PDF
    Kopierschutz: AdobeDRM
    Seitenzahl: 327
    Erscheinungsdatum: 12.07.2016
    Sprache: Englisch
    ISBN: 9783319399348
    Verlag: Springer-Verlag
    Größe: 14861kBytes
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