[ITK-users] ITK Noise removal filter on VTK file

[Matt McCormick]

Hi Majid,

For the best DICOM image compatibility, use itk::DCMTKImageIO:

  https://github.com/InsightSoftwareConsortium/ITK/blob/8a2a15f41218c925c0a89119e09419d48f83eb22/Modules/IO/DCMTK/test/itkDCMTKSeriesReadImageWrite.cxx

This also supports reading in the DICOM image orientation into the
itk::Image. This information is not retained in vtkImageData.


Writing the image to disk can be avoided with ITKVtkGlue:

  https://itk.org/ITKExamples/src/Bridge/VtkGlue/ConvertAnitkImageTovtkImageData/Documentation.html

but again, be aware of the loss of the Direction information.


Both ITK and VTK support image volumes written in MetaImage, NRRD, or
VTK Legacy file format.


A state-of-the-art edge preserving filter is the anisotropic diffusion
lattice basis reduction filter in ITK. For more information, see the
Insight Journal article:

  http://www.insight-journal.org/browse/publication/953

and instructions on how to install the Python package or enable its
module in ITK's build here:

  https://github.com/InsightSoftwareConsortium/ITKAnisotropicDiffusionLBR


Hope this helps,
Matt

On Mon, Feb 12, 2018 at 6:41 AM, Majid M. Sadeghi via Insight-users
<insight-users at itk.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.
>
>
> The ITK community is transitioning from this mailing list to
> discourse.itk.org. Please join us there!
> ________________________________
> Powered by www.kitware.com
>
> Visit other Kitware open-source projects at
> http://www.kitware.com/opensource/opensource.html
>
> Kitware offers ITK Training Courses, for more information visit:
> http://www.kitware.com/products/protraining.php
>
> Please keep messages on-topic and check the ITK FAQ at:
> http://www.itk.org/Wiki/ITK_FAQ
>
> Follow this link to subscribe/unsubscribe:
> https://itk.org/mailman/listinfo/insight-users
>