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Statistical Analysis of Noise in MRI
Santiago Aja-FernándezGonzalo Vegas-Sánchez-Ferrero
其他書名
Modeling, Filtering and Estimation
出版Springer, 2016-07-12
主題Computers / Computer ScienceMathematics / Probability & Statistics / GeneralMedical / BiostatisticsComputers / Artificial Intelligence / Computer Vision & Pattern RecognitionComputers / Computer SimulationTechnology & Engineering / BiomedicalMathematics / Discrete MathematicsComputers / Information Technology
ISBN33193993499783319399348
URLhttp://books.google.com.hk/books?id=t7OqDAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.