Package qMRI details

Methods for Quantitative Magnetic Resonance Imaging ('qMRI')

Implementation of methods for estimation of quantitative maps from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013) ) including adaptive smoothing methods in the framework of the ESTATICS model (Estimating the apparent transverse relaxation time (R2*) from images with different contrasts, Weiskopf et al. (2014) ). The smoothing method is described in Mohammadi et al. (2017). . Usage of the package is also described in Polzehl and Tabelow (2019), Magnetic Resonance Brain Imaging, Chapter 6, Springer, Use R! Series. .

Maintainer: Karsten Tabelow < karsten.tabelow at wias-berlin.de >

Documentation

 
From within R, enter citation('qMRI')


To cite package 'qMRI' in publications use:

Joerg Polzehl and Karsten Tabelow (2019). qMRI: Methods for
Quantitative Magnetic Resonance Imaging ('qMRI'). R package version
1.0.1. http://www.wias-berlin.de/research/ats/imaging/

A BibTeX entry for LaTeX users is

@Manual{,
title = {qMRI: Methods for Quantitative Magnetic Resonance Imaging ('qMRI')},
author = {Joerg Polzehl and Karsten Tabelow},
year = {2019},
note = {R package version 1.0.1},
url = {http://www.wias-berlin.de/research/ats/imaging/},
}

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('qMRI')

# from GitHub
neuro_install('qMRI', release = "stable", release_repo = "github")
neuro_install('qMRI', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on February 20 2020 9:46AM
Last updated on February 20 2020 9:46AM
Package type standard
Source GitHub https://github.com/WIAS-BERLIN/qMRI GitHub
Neuroconductor GitHub https://github.com/neuroconductor/qMRI GitHub
DependsR (3.5), awsMethods (1.0), methods
Importsoro.nifti (0.9), stringr, aws (2.4), adimpro (0.9)
Suggestscovr, testthat, knitr, rmarkdown