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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Analysis of Noise in MRI: Modeling, Filtering and Estimation

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

Aja-Fernández, Santiago
Vegas-Sánchez-Ferrero, Gonzalo

Hardcover

ApplicationsGeneral ComputersProgramming

ISBN10: 3319399330
ISBN13: 9783319399331
Publisher: Springer Nature
Published: Jul 27 2016
Pages: 327
Weight: 1.81
Height: 0.95 Width: 6.22 Depth: 9.52
Language: English
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.

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