| 书目名称 | Statistical Analysis of Noise in MRI | | 副标题 | Modeling, Filtering | | 编辑 | Santiago Aja-Fernández,Gonzalo Vegas-Sánchez-Ferre | | 视频video | | | 概述 | Provides comprehensive coverage of the field within a single, unified framework.Presents a unique overview of the various techniques for noise estimation, explaining which method is best applied for d | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2016 | | 关键词 | MRI; Noise Modeling; Signal Processing; Parallel Imaging; Estimation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-39934-8 | | isbn_softcover | 978-3-319-82000-2 | | isbn_ebook | 978-3-319-39934-8 | | copyright | Springer International Publishing AG 2016 |
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发表于 2025-3-21 19:53:37
