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

• Κύριοι συγγραφείς: Aja-Fernández, Santiago (Συγγραφέας), Vegas-Sánchez-Ferrero, Gonzalo (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Mathematical statistics.; Computer simulation.; Image processing.; Statistics.; Biomedical engineering.; Computer Science.; Probability and Statistics in Computer Science.; Statistics for Life Sciences, Medicine, Health Sciences.; Image Processing and Computer Vision.; Simulation and Modeling.; Biomedical Engineering.

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...

Πίνακας περιεχομένων:

• 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.