Skip to content

bjw34032/dcemriS4

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
R
 
 
 
 
 
 
man
 
 
src
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

A Package for the Quantitative Analysis of DCE-MRI

Travis-CI Build Status CRAN_Status_Badge CRAN Downloads Badge CRAN Downloads Badge

dcemriS4 is a package, written in the R programming environment, for the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted imaging (DWI) for oncology applications. It has been released under the BSD license.

Getting started

Install the R package using the following commands on the R console

install.packages("devtools")
devtools::install_github("bjw34032/dcemriS4")
library(dcemriS4)

or using NeuroConductor

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('dcemriS4')

# from GitHub
neuro_install('dcemriS4', release = "stable", release_repo = "github")
neuro_install('dcemriS4', release = "current", release_repo = "github")

At this point in time the package is not available on CRAN.

References

The scientific backbone of this software is based on research in the area of parameter estimation and statistical inference. Three scientific publications outline the major techniques available:

An application of both the Bayesian and frequentist methods to fit compartmental models to DCE-MRI data from a clinical trial may be found at

The dcemriS4 package provides a comprehensive set of R functions that perform all the necessary tasks to produce quantitative estimates of tumor perfusion/permeability using "standard" kinetic models. Data must be in one of two standard formats, Analyze or NIfTI, and results may be written out to either format. If your data are in DICOM format, we suggest using oro.dicom in R or feel free to use one of the many OSS implementations that convert to Analyze or NIfTI.

About

A Package for Quantitative Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •