| 书目名称 | Magnetic Resonance Brain Imaging |
| 副标题 | Modeling and Data An |
| 编辑 | Jörg Polzehl,Karsten Tabelow |
| 视频video | |
| 概述 | Provides a practical introduction to the modeling and analysis of magnetic resonance imaging (MRI) data from the human brain for both statisticians and neuroscientists.Includes complete analysis pipel |
| 丛书名称 | Use R! |
| 图书封面 |  |
| 描述 | .This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. .The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three commonMR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric |
| 出版日期 | Book 20191st edition |
| 关键词 | Magnetic Reconance Imaging data formats; BIDS standard; preprocessing pipelines; structural Magnetic Re |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-29184-6 |
| isbn_ebook | 978-3-030-29184-6Series ISSN 2197-5736 Series E-ISSN 2197-5744 |
| issn_series | 2197-5736 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 18:09:11
