| 書(shū)目名稱 | Magnetic Resonance Brain Imaging |
| 副標(biāo)題 | Modelling and Data A |
| 編輯 | J?rg Polzehl,Karsten Tabelow |
| 視頻video | http://file.papertrans.cn/622/621310/621310.mp4 |
| 概述 | Provides introduction to the modeling and analysis of MRI data for both statisticians and neuroscientists.Offers complete analysis pipelines for the analysis of MRI data in R.Provides reproducible exa |
| 叢書(shū)名稱 | Use R! |
| 圖書(shū)封面 |  |
| 描述 | This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain. For the data processing pipelines we rely on R, the software environment for statistical computing and graphics. The book is intended for readers from two communities: Statisticians, who are interested in neuroimaging and look for an introduction to the acquired data and typical scientific problems in the field and neuroimaging students, who want to learn about the statistical modeling and analysis of MRI data. Being a practical introduction, the book focuses on those problems in data analysis for which implementations within R are available. By providing full worked-out examples the book thus serves as a tutorial for MRI analysis with R, from which the reader can derive its own data processing scripts..The book starts with a short introduction into MRI. The next chapter considers the process of reading and writing common neuroimaging data formats to and from the Rsession. The main chapters then cover four common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, Multi-Parameter Mapping and Inversion Recovery MRI. The book conclude |
| 出版日期 | Book 2023Latest edition |
| 關(guān)鍵詞 | Magnetic Resonance Imaging; MR Imaging Data Formats; Statistical Modeling; Structural MRI; Functional MR |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-031-38949-8 |
| isbn_softcover | 978-3-031-38948-1 |
| isbn_ebook | 978-3-031-38949-8Series ISSN 2197-5736 Series E-ISSN 2197-5744 |
| issn_series | 2197-5736 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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