qMRI: 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)
<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 |
In views: |
MedicalImaging |
CRAN checks: |
qMRI results |
Documentation:
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