Statistical Analysis of Noise in MRI Modeling, Filtering and Estimation /

This unique text/reference 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 drawn from more than ten years of research in t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Aja-Fernández, Santiago (Autor), Vegas-Sánchez-Ferrero, Gonzalo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Computer science-Mathematics.
Mathematical statistics.
Biometry.
Computer vision.
Computer simulation.
Biomedical engineering.
Probability and Statistics in Computer Science.
Biostatistics.
Computer Vision.
Computer Modelling.
Biomedical Engineering and Bioengineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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 pMRI
  • 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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