Dear RTK users, RTK v1.3.0 <https://github.com/SimonRit/RTK/archive/v1.3.0.zip> has just been released, about 7 months after RTK v1.2.0.
Release notes : - Style updated (follow more closely latest ITK guidelines). - Started using Travis CI, github pull requests should now be used for code submission. - New pre-processing functionalities: * CUDA polynomial gain correction, * scatter glare correction, * lag correction, * idark option, * removed threshold to positive values after i0 LUT. - Improved CUDA forward and backprojection speed using projection slabs. - Added motion-compensated forward and back projection operators in CUDA, in both 3D and 4D. - Added the rtkregularizedconjugategradient application, which performs 3D regularized reconstruction by conjugate gradient + optional regularizations (Positivity, TV, Wavelets). - Made the rtkfourdrooster, rtkmcrooster and rtkregularizedconjugategradient fully modular. Each regularization step can be made active or inactive. - Added a filter to minimize the L0 norm of the temporal gradient (one-D only). Many thanks to the contributors, in alphabetical order for this release: Cyril Mory, Deepak Roy Chittajallu, Fabien Momey, Hans Johnson, Julien Jomier, Sébastien Brousmiche, Simon Rit As usual, be aware that we don't focus on releases since we have a public github repository <http://github.com/SimonRit/RTK> that we try to keep stable. I still recommend the use of the master HEAD over releases to enjoy the new RTK developments before their release. We still have a few on-going projects for which we will use and enhance RTK. Simon (for the RTK consortium)
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