| 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 | http://file.papertrans.cn/877/876348/876348.mp4 |
| 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 |
|Archiver|手机版|小黑屋|
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