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Magnetic resonance brain imaging = modelling and data analysis using R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Magnetic resonance brain imaging/ by Jorg Polzehl, Karsten Tabelow.
Reminder of title:	modelling and data analysis using R /
Author:	Polzehl, Jorg.
other author:	Tabelow, Karsten.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xxi, 258 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Signal, Speech and Image Processing. -
Online resource:	https://doi.org/10.1007/978-3-031-38949-8
ISBN:	9783031389498

Magnetic resonance brain imaging = modelling and data analysis using R /
Polzehl, Jorg.

Magnetic resonance brain imagingmodelling and data analysis using R /[electronic resource] :by Jorg Polzehl, Karsten Tabelow. - Second edition. - Cham :Springer International Publishing :2023. - xxi, 258 p. :ill., digital ;24 cm. - Use R,2197-5744. - Use R..

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 R session. 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.

ISBN: 9783031389498

Standard No.: 10.1007/978-3-031-38949-8doiSubjects--Topical Terms:

1414819
Signal, Speech and Image Processing.

LC Class. No.: RC386.6.M34

Dewey Class. No.: 616.8047548

Magnetic resonance brain imaging = modelling and data analysis using R /
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