[Insight-users] CMTK 1.0 Released

[Luis Ibanez]

Hi Torsten,


          Congratulations for the release of CMTK 1.0 !


Any chance that you may consider distributing the code
under a BSD or Apache 2 license ?



     Thanks


        Luis


-------------------------
Torsten Rohlfing wrote:
> Greetings, and apologies for the non-ITK topic.
> 
> As a one-time notice, I would like to let everyone know that we recently 
> released version 1.0 of the Computational Morphometry Toolkit under the 
> GPL, available in source and pre-compiled for selected platforms from 
> http://www.nitrc.org/projects/cmtk/
> 
> The toolkit consists of a number of general purpose image processing 
> libraries with a collection of command line tools as the primary front 
> end, i.e., this is mainly intended for batch processing (but we are 
> working on implementing Slicer plugin auto-detection).  All essential 
> algorithms are implemented using SMP parallelism (POSIX threads and 
> OpenMP), and some CPU hogs (groupwise registration) also come in 
> distributed (MPI) variants.
> 
> The name CMTK is admittedly a bit misleading, because there are tools 
> somewhat more general than morphometry, e.g., bias field correction, 
> super-resolution volume reconstruction, label fusion (STAPLE), to name 
> just a few. But what can you do, the child needs a name ;)
> 
> Note that CMTK is not meant to compete with ITK in any way -- but thanks 
> to reading and writing Analyze, Nrrd, NIFTI, it will interface with ITK, 
> FSL, etc. just fine.  A primary goal of releasing CMTK is to make 
> available all software that I have been working on for, oh, ten years or 
> so, and much of it actually predates ITK.  So in addition to making 
> available tools that I felt were missing or hard to use in other 
> software collections (not to mention any names), this provides access to 
> the source code of virtually all tools that I have used in my academic 
> papers over the years.
> 
> So feel free to take a peek and maybe take a tool or two for a spin! 
> Documentation is still a bit sparse but improving.
> 
> Best,
>   Torsten
>