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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: | 1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Matrix, splines, fields, graphics, parallel, plotrix |
| Suggests: | knitr, rmarkdown, codetools, testthat (≥ 3.0.0), R.rsp |
| Published: | 2023-07-19 |
| 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 |
| Reference manual: | cmR.pdf |
| Vignettes: |
CMR usage on example data set |
| Package source: | cmR_1.1.tar.gz |
| Windows binaries: | r-devel: cmR_1.1.zip, r-release: cmR_1.1.zip, r-oldrel: cmR_1.1.zip |
| macOS binaries: | r-release (arm64): cmR_1.1.tgz, r-oldrel (arm64): cmR_1.1.tgz, r-release (x86_64): cmR_1.1.tgz, r-oldrel (x86_64): cmR_1.1.tgz |
| Old sources: | cmR archive |
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