[Insight-users] apply itk::RecursiveGaussianImageFilter on a region defined by a mask

[Bradley Lowekamp]

Hello,

You could just use a couple of pixel operations to mask the regions. Here is the idea in SimpleITK:

img = sitk.ReadImage( "temp.mha")
mask = img>5
out = sitk.MaskNegated(img,mask)+sitk.Mask(sitk.SmoothingRecursiveGaussian(img,10), mask )

Brad

On Aug 10, 2013, 
 8:00 AM, zilu <zilu at libero.it> wrote:

> Hi everyone,
> 
> I have a question regarding the itk::RecursiveGaussianImageFilter. Now I'm
> using this filter to smooth a 3D displacement field for a registration task. 
> I noticed that there are ways to restrict the application of the filter to a
> Region Of Interest, but as far as understood this ROI can only be cubic.
> My question is: is it possible to apply this filter to a displacement field
> taking into consideration only an ROI defined by a pre-loaded (segmentation)
> mask? And if yes, how can you deal with the boundary conditions?
> Thanks a lot,
> 
> David
> 
> 
> 
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