[vtkusers] ITK Noise removal filter on VTK file

Jon Haitz Legarreta jhlegarreta at vicomtech.org
Mon Feb 12 07:01:56 EST 2018


Dear Majid,
if you are processing a 2D/3D (medical image) volumetric dataset, I'd say
that it'd be easier to just use ITK as a starting point. If you then need
visualization capabilities, then you'd need to use VTK as well.

For resampling, and reslicing purposes, you may want to have a look at
https://itk.org/Doxygen/html/classitk_1_1ResampleImageFilter.html

and the examples
https://itk.org/ITKExamples/src/Filtering/ImageGrid/ResampleAnImage/Documentation.html

For using VTK with medical datasets:
https://lorensen.github.io/VTKExamples/site/Cxx/#medical

For edge preserving noise removal, you can have a look at
https://itk.org/Doxygen/html/classitk_1_1AnisotropicDiffusionImageFilter.html

Edge preserving noise removal is described in Section 2.7.3. of the ITK
Software Guide:
https://itk.org/ItkSoftwareGuide.pdf

For storing your image, ITK tends to use metaimage format:
https://itk.org/Doxygen/html/classitk_1_1MetaImageIO.html

VTK can also write/read it.

HTH,
JON HAITZ


PS: ITK has transitioned to discourse.itk.org as a discussion forum. So if
your question is only about ITK, it would be advisable to post it there.

--


On 12 February 2018 at 12:27, Majid M. Sadeghi via vtkusers <
vtkusers at vtk.org> wrote:

> Dear All,
>
> I am using a vtkGDCMImageReader to import 3D DICOM images. Then I adjust
> the spacing and reslice. After that I can save it as both image
> data|(vtkXMLImageDataWriter) or polydata(vtkImageDataGeometryFilter).
>
> I want to apply edge preserving noise removal to the data either just
> after reading images, or after saving as .vtp files.
>
> I have setup ITK and scanned the ITK book, but I have no experience on it.
>
> Is there any link or example which can guide me on how to perform this?
> (what type of structure is common between ITK and VTK? Should I perform the
> filter after saving in VTK or before that? which filter do you suggest for
> the best speed and perfomance?)
>
> Thanks a lot.
>
>
>
>
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