Difference between revisions of "NiftyReg"
From CMIC
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You can find installation instruction for multiple platforms on the [[NiftyReg_install|install page]]. | You can find installation instruction for multiple platforms on the [[NiftyReg_install|install page]]. | ||
| − | A example showing how the NiftyReg tools can be use to do a segmentation propagation can be found here [[ | + | A example showing how the NiftyReg tools can be use to do a segmentation propagation can be found here [[NiftyReg_Segmention_Propagation_Tutorial|here]]. |
== Note == | == Note == | ||
We are currently in the process of refactoring NiftyReg to use a platform based architecture to enable to use either a CPU-, CUDA- or OpenCL-based implementation. | We are currently in the process of refactoring NiftyReg to use a platform based architecture to enable to use either a CPU-, CUDA- or OpenCL-based implementation. | ||
Revision as of 16:09, 9 March 2015
NiftyReg is an open-source software for efficient medical image registration. It has been mainly developed by member of the Translational Imaging Group with the Centre for Medical Image Computing at University College London, UK.
The source code is hosted on SourceForge and the git repository can be accessed from this page.
You can find installation instruction for multiple platforms on the install page.
A example showing how the NiftyReg tools can be use to do a segmentation propagation can be found here here.
Note
We are currently in the process of refactoring NiftyReg to use a platform based architecture to enable to use either a CPU-, CUDA- or OpenCL-based implementation.
