cmR: Analysis of Cardiac Magnetic Resonance Images

Computes maximum response from Cardiac Magnetic Resonance Images using spatial and voxel wise spline based Bayesian model. This is an implementation of the methods described in Schmid (2011) <doi:10.1109/TMI.2011.2109733> "Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI". IEEE TMI 30(7) p. 1305 - 1313.

Version: 1.0.3
Depends: R (≥ 3.5.0)
Imports: Matrix, splines, fields, graphics, parallel
Suggests: knitr, rmarkdown, codetools, testthat (≥ 3.0.0), R.rsp
Published: 2021-06-14
Author: Volker Schmid [aut, cre]
Maintainer: Volker Schmid <volker.schmid at lmu.de>
BugReports: https://github.com/bioimaginggroup/cmR/issues
License: GPL-3
URL: https://bioimaginggroup.github.io/cmr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cmR results

Downloads:

Reference manual: cmR.pdf
Vignettes: CMR usage on example data set
Package source: cmR_1.0.3.tar.gz
Windows binaries: r-devel: cmR_1.0.3.zip, r-release: cmR_1.0.1.zip, r-oldrel: cmR_1.0.1.zip
macOS binaries: r-release (arm64): cmR_1.0.1.tgz, r-release (x86_64): cmR_1.0.1.tgz, r-oldrel: cmR_1.0.1.tgz
Old sources: cmR archive

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