Proposals:Integration with R Language: Difference between revisions
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** Group registration | ** Group registration | ||
** Atlas based segmentation | ** Atlas based segmentation | ||
* Segmentation of Images/Volumes using ITK | |||
** Multi-dimensional array(s) pre-existing in '''R''' | |||
** Results are passed back into '''R''' | |||
** Visualization of results in ITK (through '''R'''?) | |||
* Registration of Images/Volumes using ITK | |||
** Multi-dimensional array(s) pre-existing in '''R''' | |||
** Results are passed back into '''R''' | |||
** Visualization of results in ITK (through '''R'''?) | |||
= Suggested Implementations = | = Suggested Implementations = | ||
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Adapting the wrapping process of WrapITK in order to expose ITK functionalities from R. | Adapting the wrapping process of WrapITK in order to expose ITK functionalities from R. | ||
== R Interface Examples with other languages == | |||
* http://www.omegahat.org/RSPerl/ | |||
* http://www.omegahat.org/RSPython/ | |||
* http://www.omegahat.org/GccTranslationUnit/ | |||
* http://www.omegahat.org/Combinations/ | |||
* http://dirk.eddelbuettel.com/code/rcpp.html |
Latest revision as of 15:46, 10 August 2009
Background
This page hosts discussions on how to integrate functionalities of ITK with R language (http://www.r-project.org/)
A reference for this effort is the integration of R in the Titan package (based on VTK).
https://www.kitware.com/InfovisWiki/index.php/R_Titan_Integration
Use Cases
- Statistical Segmentation of Images
- Multi-modality segmentation
- Statistical Analysis of features extracted from images
- Group registration
- Atlas based segmentation
- Segmentation of Images/Volumes using ITK
- Multi-dimensional array(s) pre-existing in R
- Results are passed back into R
- Visualization of results in ITK (through R?)
- Registration of Images/Volumes using ITK
- Multi-dimensional array(s) pre-existing in R
- Results are passed back into R
- Visualization of results in ITK (through R?)
Suggested Implementations
Data Bridge
Making some ITK data structures visible from R by converting or adapting them to R vectors. And conversely, adapting R vectors into ITK data structures.
Candidate ITK classes
- itk::FixedArray (and derived classes)
- itk::Point
- itk::Vector
- itk::Index
- itk::Offset
- itk::CovariantVector
- itk::RGBPixel
- itk::RGBAPixel
- itk::VariableLenghtVector
- itk::Matrix
- itk::Containers
- itk::VectorContainer
- itk::MapContainer
- itk::Image
- itk::PixelContainer
- itk::Sample
- itk::KdTree
Candidate STL classes
- STL Containers
- std::list
- std::queue
- std::map
- std::set
Wrapping (WrapITK)
Adapting the wrapping process of WrapITK in order to expose ITK functionalities from R.