Magnetic Resonance Brain Imaging Modelling and Data Analysis Using R 2nd Edition

Farid-Khan

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Magnetic Resonance Brain Imaging | 268 | Jörg Polzehl, Karsten Tabelow | 2023 | Springer International Publishing |​

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.



Contents of Download:
978.3.031.38949.8.epub (49.69 MB)
978.3.031.38949.8.pdf (40.87 MB)


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