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cmR  

Analysis of Cardiac Magnetic Resonance Images
View on CRAN: Click here


Download and install cmR package within the R console
Install from CRAN:
install.packages("cmR")

Install from Github:
library("remotes")
install_github("cran/cmR")

Install by package version:
library("remotes")
install_version("cmR", "1.1")



Attach the package and use:
library("cmR")
Maintained by
Volker Schmid
[Scholar Profile | Author Map]
First Published: 2021-03-31
Latest Update: 2023-07-19
Description:
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) "Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI". IEEE TMI 30(7) p. 1305 - 1313.
How to cite:
Volker Schmid (2021). cmR: Analysis of Cardiac Magnetic Resonance Images. R package version 1.1, https://cran.r-project.org/web/packages/cmR. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0.1 (2021-03-31 10:50), 1.0.3 (2021-06-14 15:20)
Other packages that cited cmR R package
View cmR citation profile
Other R packages that cmR depends, imports, suggests or enhances
Complete documentation for cmR
Functions, R codes and Examples using the cmR R package
Some associated functions: bullseye . cmr.local . cmr . cmr.space . cmrdata_sim . imageMBF . input_sim . maxresp_sim . pseudobullseye . rmvnormcanon . 
Some associated R codes: bullseye.R . cmr.R . cmr_local.R . cmr_space.R . data.R . image_mbf.R . pseudobullseye.R . rmvnormcanon.R .  Full cmR package functions and examples
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