Brandon Whitcher <bjw34032@users.sourceforge.net> and Volker
Schmid <volkerschmid@users.sourceforge.net>, with contributions
from Andrew Thornton <zeripath@users.sourceforge.net>
A collection of routines and documentation that allows one
to perform a quantitative analysis of dynamic contrast-enhanced
or diffusion-weighted MRI data.  Medical imaging data should be
organized using either the Analyze or NIfTI data formats.

Brandon Whitcher and Volker Schmid, with contributions from
Andrew Thornton

R (>= 2.5.0), grDevices, graphics, splines

A Package for Medical Image Analysis (S4 implementation)
R (>= 2.6.0), grDevices, graphics, methods, utils
bitops, minpack.lm, multicore, splines, XML

R (>= 2.6.0), grDevices, graphics, methods, oro.nifti, utils
A collection of routines and documentation that allows one
to perform voxel-wise quantitative analysis of dynamic
contrast-enhanced or diffusion-weighted MRI data.

R (>= 2.6.0), grDevices, graphics, methods, oro.nifti (>=
0.2.8), utils

R (>= 2.14.0), grDevices, graphics, methods, oro.nifti (>=
0.2.8), parallel, utils
A collection of routines and documentation that allows one to
perform voxel-wise quantitative analysis of dynamic contrast-enhanced or
diffusion-weighted MRI data.

bitops, minpack.lm, splines, XML, oro.dicom

R (>= 2.14.0), grDevices, graphics, methods, oro.nifti (>=
0.3.0), parallel, utils

A collection of routines and documentation that allows one
to perform voxel-wise quantitative analysis of dynamic
contrast-enhanced or diffusion-weighted MRI data, with emphasis
on oncology applications.

bitops, minpack.lm, splines, XML, oro.dicom (>= 0.3.7)
grDevices, graphics, methods, parallel, utils
A collection of routines and documentation that allows one to
perform voxel-wise quantitative analysis of dynamic contrast-enhanced or
diffusion-weighted MRI data, with emphasis on oncology applications.

A Package for Image Analysis of DCE-MRI (S4 Implementation)
c(person("Brandon", "Whitcher", role = c("aut", "cre"),
email = "bwhitcher@gmail.com"),
person("Volker", "Schmid", role = "aut",
email="volker.schmid@lmu.de"),
person("Andrew", "Thornton", role = "ctb",
email = "zeripath@gmail.com"))
bitops, minpack.lm, splines, XML, oro.dicom (>= 0.4.3),
testthat
A collection of routines and documentation that allows one to
perform voxel-wise quantitative analysis of dynamic contrast-enhanced MRI
(DEC-MRI) and diffusion-weighted imaging (DWI) data, with emphasis on
oncology applications.
Brandon Whitcher [aut, cre],
Volker Schmid [aut],
Andrew Thornton [ctb]