[ITK-users] Combining several segmenations

[Matt McCormick]

Hello Felix,

Once approach is to use the LabelVotingImageFilter:

  https://itk.org/Doxygen/html/classitk_1_1LabelVotingImageFilter.html

Hope this helps,
Matt

On Fri, Jun 30, 2017 at 6:58 AM, Felix Burk <felix.burk at gmail.com> wrote:
> Hello,
>
> I'm using ITKs ScalarChanAndVeseDenseLevelSetImageFilter to segment parts of
> a medical image file series. The problem is that the resolution is pretty
> low. So far its working well, but I'd like to have more accurate results.
>
> The images in the file series are similar, but change more after each time
> step. Some segmentations work really well but others differ quite a bit from
> the desired result.
> My idea is to combine segmentations from different time steps, like the
> current and previous one. I think this might lead to better results, because
> the segmentations should be similar too.
> I'm quite new to ITK and image analysis in general, maybe that's why I
> couldn't find something useful for this kind of problem.
>
> I already tried to compare them using SquaredDifferenceImageFilter and
> SimilarityIndexImageFilter, but I don't know if the results are of any use.
> Is there any way to combine segmentations from several time steps to obtain
> better results for a single time step?
>
> I implemented the algorithm as a Paraview Plugin, if that matters. I could
> provide some Screenshots too if this might help.
>
> Thanks,
> Felix
>
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