Overview
- 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 examples using open data and open software with code
Part of the book series: Use R! (USE R)
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Table of contents (7 chapters)
Keywords
About this book
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 concludes with extended Appendices on details of the utilize non-parametric statistics and on resources for R and MRI data.
The book also addresses the issues of reproducibility and topics like data organization and description, open data and open science. It completely relies on a dynamic report generation with knitr: The books R-code and intermediate results are available for reproducibility of the examples.
Authors and Affiliations
About the authors
Karsten Tabelow is a (particle) physisist by training who currently works as a data scientist at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He is interested in Magnetic Resonance Imaging data of the human brain and considers data modeling and analysis problems with a focus on structural adaptive smoothing methods and biophysical models. He is also interested in reconstruction problems from physics-based imaging modalities. He is a member of the OHBM. Finally, he contributes to the discussion on Open Science and Research Data Handling especially within mathematics. Within the Mathematical Research Data Initiative (MaRDI) with the German National Research Data Infrastructure (NFDI) he is one of the strategic developers of the consortium and a leader of the MaRDI working group at WIAS.
Both authors have jointly coauthored several R packages for the analysis of Magnetic Resonance Imaging data.
Bibliographic Information
Book Title: Magnetic Resonance Brain Imaging
Book Subtitle: Modelling and Data Analysis Using R
Authors: Jörg Polzehl, Karsten Tabelow
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-031-38949-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-38948-1Published: 13 October 2023
eBook ISBN: 978-3-031-38949-8Published: 11 October 2023
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 2
Number of Pages: XXI, 258
Number of Illustrations: 31 b/w illustrations, 47 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Imaging / Radiology, Computer Imaging, Vision, Pattern Recognition and Graphics, Biostatistics, Statistics and Computing/Statistics Programs, Signal, Image and Speech Processing