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>.
Version: | 1.2 |
Depends: | R (≥ 3.5), awsMethods (≥ 1.0), methods |
Imports: | oro.nifti (≥ 0.9), stringr, aws (≥ 2.4), adimpro (≥ 0.9) |
Suggests: | covr, testthat, knitr, rmarkdown |
Published: | 2020-02-25 |
Author: | Joerg Polzehl [aut], Karsten Tabelow [aut, cre], WIAS Berlin [cph, fnd] |
Maintainer: | Karsten Tabelow <karsten.tabelow at wias-berlin.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Copyright: | This package is Copyright (C) 2015-2020 Weierstrass Institute for Applied Analysis and Stochastics. |
URL: | http://www.wias-berlin.de/research/ats/imaging/ |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | qMRI results |
Reference manual: | qMRI.pdf |
Vignettes: |
Analyzing MPM data with package qMRI |
Package source: | qMRI_1.2.tar.gz |
Windows binaries: | r-devel: qMRI_1.2.zip, r-release: qMRI_1.2.zip, r-oldrel: qMRI_1.2.zip |
macOS binaries: | r-release: qMRI_1.2.tgz, r-oldrel: qMRI_1.2.tgz |
Old sources: | qMRI archive |
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