CRAN/E | qMRI

qMRI

Methods for Quantitative Magnetic Resonance Imaging ('qMRI')

Installation

About

Implementation of methods for estimation of quantitative maps from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013) doi:10.3389/fnins.2013.00095) 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) doi:10.3389/fnins.2014.00278). The smoothing method is described in Mohammadi et al. (2017). doi:10.20347/WIAS.PREPRINT.2432. Usage of the package is also described in Polzehl and Tabelow (2019), Magnetic Resonance Brain Imaging, Chapter 6, Springer, Use R! Series. doi:10.1007/978-3-030-29184-6_6.

www.wias-berlin.de/research/ats/imaging/
Copyright This package is Copyright (C) 2015-2020 Weierstrass Institute for Applied Analysis and Stochastics.

Key Metrics

Version 1.2.7
R ≥ 3.5
Published 2023-09-18 227 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks qMRI results

Downloads

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Maintainer

Maintainer

Karsten Tabelow

karsten.tabelow@wias-berlin.de

Authors

Joerg Polzehl

aut

Karsten Tabelow

aut / cre

WIAS Berlin

cph / fnd

Material

Reference manual
Package source

In Views

MedicalImaging

Vignettes

An example session for analyzing Inversion Recovery MRI and MR Elastography data
An example session for analyzing quantitative MRI data in the Multi-Parameter Mapping framework

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

qMRI archive

Depends

R ≥ 3.5
awsMethods ≥ 1.0
methods
parallel

Imports

oro.nifti ≥ 0.9
stringr
aws ≥ 2.4
adimpro ≥ 0.9

Suggests

covr
testthat
knitr
rmarkdown