<div dir="ltr">Dear RTK users,<br>
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<div><span><a target="_blank" href="https://github.com/SimonRit/RTK/archive/v1.3.0.zip">RTK v1.3.0</a> has just been <span>released</span>,
about 7 months after RTK v1.2.0.<br>
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Release notes : <br>
<div>- Style updated (follow more closely latest <span style="background:yellow none repeat scroll 0% 0%">ITK</span> guidelines).<br>- Started using Travis CI, <span style="background:yellow none repeat scroll 0% 0%">github</span> pull
requests should now be used for code submission.<br>- New <span style="background:yellow none repeat scroll 0% 0%">pre</span>-processing functionalities:<br> * <span style="background:yellow none repeat scroll 0% 0%">CUDA</span> polynomial gain correction,<br> * scatter glare correction,<br> * lag correction,<br></div> * <span style="background:yellow none repeat scroll 0% 0%">idark</span> option,<br> * removed threshold to positive values after i0 <span style="background:yellow none repeat scroll 0% 0%">LUT.</span><br>- Improved <span style="background:yellow none repeat scroll 0% 0%">CUDA</span> forward and <span style="background:yellow none repeat scroll 0% 0%">backprojection</span> speed using projection slabs.<br>- Added motion-compensated forward and back projection operators in <span style="background:yellow none repeat scroll 0% 0%">CUDA</span>,
in both 3D and 4D.<br>- Added the <span style="background:yellow none repeat scroll 0% 0%">rtkregularizedconjugategradien</span><wbr>t application, which
performs 3D regularized reconstruction by conjugate gradient + optional
<span style="background:yellow none repeat scroll 0% 0%">regularizations</span> (Positivity, TV, Wavelets).<br>- Made the <span style="background:yellow none repeat scroll 0% 0%">rtkfourdrooster</span>, <span style="background:yellow none repeat scroll 0% 0%">rtkmcrooster</span> and <span style="background:yellow none repeat scroll 0% 0%">rtkregularizedconjugategradien</span><wbr>t fully modular. Each regularization step can be made active or inactive.<br>- Added a filter to minimize the L0 norm of the temporal gradient (one-D only).<br><span><br>
Many thanks to the contributors, in
alphabetical order for this release: </span><span>Cyril Mory, Deepak Roy Chittajallu, Fabien Momey, Hans Johnson, Julien Jomier, </span><span><span>Sébastien Brousmiche, </span>Simon Rit<br></span><br>As usual, be aware that we don't focus on <span>releases</span> since
we have a <a target="_blank" href="http://github.com/SimonRit/RTK">public github repository</a> that we try
to keep stable. I still recommend the use of the master
HEAD over <span>releases</span> to enjoy the
new RTK developments before their <span>release</span>.
We still have a few on-going projects for which we will
use and enhance RTK.<br>
<br>
Simon (for the RTK consortium)</div></div><div><div>
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