[Rtk-users] rtk::CudaVectorImage available

[Kabelitz, Gordian]

Hi Simon,

I asked because of the description of the itk::VectorImage (https://itk.org/Doxygen/html/classitk_1_1VectorImage.html):
“Conceptually, a VectorImage< TPixel, 3 > is the same as a Image<https://itk.org/Doxygen/html/classitk_1_1Image.html>< VariableLengthVector< TPixel >, 3 >. The difference lies in the memory organization. The latter results in a fragmented organization with each location in the Image<https://itk.org/Doxygen/html/classitk_1_1Image.html> holding a pointer to an VariableLengthVector<https://itk.org/Doxygen/html/classitk_1_1VariableLengthVector.html> holding the actual pixel. The former stores the k pixels instead of a pointer reference, which apart from avoiding fragmentation of memory also avoids storing a 8 bytes of pointer reference for each pixel. The parameter k can be set using SetVectorLength.”

Does it make any performance differences on the CPU algorithms?
I guess that the memory is reorganized in the rtk::CudaImageFilter to make it more efficient on the GPU (like a new image for each vector component). Or it is handled in a different way?

I think it will be more time consuming and error prone to do it by myself since I am not very familiar with GPU memory management.

Gordian

Von: Simon Rit [mailto:simon.rit at creatis.insa-lyon.fr]
Gesendet: Mittwoch, 20. Februar 2019 16:27
An: Kabelitz, Gordian
Cc: rtk-users at public.kitware.com
Betreff: Re: [Rtk-users] rtk::CudaVectorImage available

Hi Gordian,
I don't think so. We have successfully used images of vectors (e.g., itk::CudaImage<itk::Vector<float,3>,2>) but I have never used VectorImage and I think you would need to rewrite an itk::CudaVectorImage to do so. I'm not sure how difficult that would be...
Simon

On Wed, Feb 20, 2019 at 4:13 PM Kabelitz, Gordian <Gordian.Kabelitz at medma.uni-heidelberg.de<mailto:Gordian.Kabelitz at medma.uni-heidelberg.de>> wrote:
Hello,

I am looking for a ITKCudaCommon datatype that resembles the itk::VectorImage.

Is there a possibility to use itk::CudaImage somehow or other workarounds?

Thanks in advance,
Gordian
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