[ITK-users] Management of big datasets
Matt McCormick
matt.mccormick at kitware.com
Mon Jan 26 09:39:23 EST 2015
Hi Elena,
Using ImageFileWriter might help debug the problem. Or, ensuring that
all the data is being processed incrementally along each stage of the
pipeline can help.
Also, it is recommended to conclude each pipeline with
->UpdateLargestPossibleRegion();
instead of just
->Update();
which helps with some subtle pipeline issues.
Please keep us posted on your progress.
Thanks,
Matt
On Mon, Jan 26, 2015 at 3:44 AM, gmail <elena.bresciani87 at gmail.com> wrote:
> Hi everybody,
>
> I’m having issues with a project that requires using 3D datasets up to 4-5
> GB without subsampling.
> The pipeline is something like this:
>
> ImageFileReader -> IntensityWindowingImageFilterType -> MedianImageFilter ->
> ScalarImageKmeansImageFilter -> RelabelComponentImageFilter ->
> RescaleIntensityImageFilter -> ImageSeriesWriter
>
> I was getting std::bad_alloc error but I solved this problem with ->
> ReleaseDataFlagOn() for each filter of the pipeline.
>
> My code runs well till the end and all the images of the output stack are
> written but after only 170 images (of a total of 1990) are written correctly
> whilst the others have only black pixels.
>
> Any guess on what could be the problem? Maybe I should use ImageFileWriter
> instead of ImageSeriesWriter?
>
> Best regards
>
> Elena
>
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