Magnetic resonance brain imaging : modeling and data analysis using R

Author(s)

    • Polzehl, Jörg
    • Tabelow, Karsten

Bibliographic Information

Magnetic resonance brain imaging : modeling and data analysis using R

Jörg Polzehl, Karsten Tabelow

(Use R! / series editors, Robert Gentleman, Kurt Hornik, Giovanni Parmigiani)

Springer, c2019

Available at  / 2 libraries

Search this Book/Journal

Note

Includes bibliographical references (p. 207-225) and index

Description and Table of Contents

Description

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 common MR 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 statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.

Table of Contents

1 Introduction.- 2 Magnetic Resonance Imaging in a nutshell.- 3 Medical imaging data formats.- 4 Functional Magnetic Resonance Imaging.- 5 DiffusionWeighted Imaging.- 6 Multi Parameter Mapping.- Appendix.- References.- Index.

by "Nielsen BookData"

Related Books: 1-1 of 1

  • Use R!

    series editors, Robert Gentleman, Kurt Hornik, Giovanni Parmigiani

    Springer

Details

  • NCID
    BB29131704
  • ISBN
    • 9783030291822
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cham
  • Pages/Volumes
    xviii, 231 p.
  • Size
    24 cm
  • Parent Bibliography ID
Page Top