[ITK-users] why can the itkStatisticsImageFilter not stream?

Mon Apr 20 04:30:29 EDT 2015

Dear Brad,

Many thanks for Your answers and for also fixing the progress reporting. Just 
tested and it works like a charm. It's a really great contribution especially 
for those having to work with very big images. I'll give it a try to use Your 
itkImageSinc to implement a "chunk writer" taking StreamingStatisticsImage as an 
example and ImageRegionSplitterMultidimensional to create the chunks.

If I set the NumberOfStreamDivisions to the number of slices in the 3D Stack 
Input, is it guaranteed that each slice will be processed on its own for the 
default ImageRegionSplitterSlowDimension?
Or would I have to use an approach as in 
itkJoinSeriesImageFilterStreamingTest.cxx employing itkExtractImageFilter for 
each slice?

In the docs of ImageSeriesWriter it says: "Usually, the output image type will 
have fewer dimensions than the input image type."
Is there a way to use the ImageSeriesWriter to save a series of hypercubes as 
ImageRegionSplitterMultidimensional would yield internally?

Thanks for any help or hints.
Roman

On 17/04/15 20:13, Bradley Lowekamp wrote:
> Hello,
>
> Glad to hear it worked for you.
>
> I have just fixed the progress reporting [1].
>
> The StreamingImageFilter overloads the UpdateData method [2], by passing the
> standard ImageToImage/ImageSource methods such and GenerateData,
> ThreadedGenerateData etc. It's actually not really designed to be derived
> from, and it used mostly to drive the streaming of a pipeline. It can be seen
> as slicing up the output image in to pieces, and requesting those pieces from
> the pipeline, the assembling them into the output image.
>
> The resulting behavior of the ImageSinc, with the StreamingProcessObject goes
> something like this:
>
>
> BeforeStreamedGenerateData()
>
> For each requested streamed chunk: For each thread process part of streamed
> chunk: ThreadedStreamedGenerateData()
>
> AfterStreamedGenerateData()
>
> So the input image is getting sliced up twice the first for streaming and the
> second for multi-threading.
>
> The StreamingImageFitler could be rewritten onto this framework to perhaps
> provide a generalized base class.
>
> For the StreamingStatisticsImage filter, the statistics are accumulated for
> each thread multiple times ( for each streamed chunk ), then the totals from
> the threads are reduced to the results.
>
> These classes certainly need more documentation before further integration
> into ITK.
>
> Brad
>
> [1]
> https://github.com/blowekamp/itkStreamingSinc/commit/d8415cf137d69a0e81b6dd46145d8cb7df2825c3
>
>
[2] 
https://github.com/InsightSoftwareConsortium/ITK/blob/8f7c404aff99f5ae3dfedce6e480701f0304864c/Modules/Core/Common/include/itkStreamingImageFilter.hxx#L118-Lundefined
>
> On Apr 17, 2015, at 12:12 PM, Grothausmann, Roman Dr.
> <grothausmann.roman at mh-hannover.de> wrote:
>
>> Dear Brad, dear Richard,
>>
>>
>> Many thanks for Your replies. So, if I understand You correctly, the
>> problem is that the current framework (with StreamingImageFilter) will run
>> AfterThreadedGenerateData for each chunk and not just when the whole image
>> has been processed. So one would need to combine StatisticsImageFilter and
>> StreamingImageFilter into one filter, i.e. basically that the part of
>> AfterThreadedGenerateData is executed by StreamingImageFilter. If I
>> understand the code of itkStreamingSinc correctly, this is what it does?
>> itkStreamingSinc provides a base class to combine multi-threaded filters
>> with a StreamingImageFilter to make them streamable. This comes with the
>> trade-off that the resulting filter will not provide an output, which is no
>> problem if it is not needed. So, e.g. itkStreamingStatisticsImageFilter
>> cannot be connected to itkPipelineMonitorImageFilter as it would need an
>> output of itkStreamingStatisticsImageFilter?
>>
>> Many thanks Brad for implementing itkStreamingStatisticsImageFilter. I just
>> tested it and it works perfectly
>> (https://github.com/romangrothausmann/ITK-CLIs/commit/38bcad35bf004feaf2189bdaaffcf398fbca1f60).
>>
>>
Though, I do not understand the changes You made in: 
https://github.com/blowekamp/itkStreamingSinc/commit/b4ae9b61dc08388fbf1b3bfd9e5cf570dd40a0c6
>> Is the accumulation that still resides in AfterStreamedGenerateData not
>> used at all?
>> (https://github.com/blowekamp/itkStreamingSinc/commit/dae948bea0966a2c3924351bf9c15bfcef318ac6#diff-ad64d497b8f9aadd5da97c5e1c793dc9R210)
>>
>>
Just as a side note: The progress reported by itkStreamingStatisticsImageFilter 
jumps to 100% for each chunk.
>>
>> All in all Your itkStreamingSinc and the implemented streaming-filters are
>> really a great contribution to ITK and I fully recommend incorporating it
>> into ITK.
>>
>> Many thanks again Roman
>>
>>
>> On 17/04/15 15:47, Bradley Lowekamp wrote:
>>> Hi,
>>>
>>> I was able to easy update a the StatisticsImageFilter to use my
>>> streaming base class for reduction algorithms [1]. It runs basically the
>>> same expect that you can set the number of stream divisions[2], there is
>>> the potential for setting the way the input image is split via the
>>> RegionSplitter in a base class [3].
>>>
>>> You should be able to just clone the repository into you
>>> ITK/Modules/External directory, then enable it in the CMake configuration
>>> to use.
>>>
>>> Please let me know if it works for you.
>>>
>>> This should help :) Brad > [1]
>>> https://github.com/blowekamp/itkStreamingSinc/blob/master/include/itkStreamingStatisticsImageFilter.h
>>>
>>>
[2] 
https://github.com/blowekamp/itkStreamingSinc/blob/master/test/itkStreamingStatisticsImageFilterTest2.cxx#L61
>>> [3]
>>> https://github.com/blowekamp/itkStreamingSinc/blob/master/include/itkImageSinc.h#L99
>>>
>>>
>>>
>>>
>>>
On Apr 17, 2015, at 7:14 AM, Bradley Lowekamp <blowekamp at mail.nih.gov>
>>> wrote:
>>>
>>>> Hello fellow mailing list member,
>>>>
>>>> Currently in ITK there are two base classes for streaming images in
>>>> ITK. The
>> ImageToImageFilter provide the framework of streaming one input region to
>> one output region. The other is the StreamingImageFilter which provides
>> the framework to stream multiple image regions and merge them together into
>> a single output image. This StatisticsImageFilter needs a framework which
>> consumes multiple input image regions and reduces the data produced. I
>> happen to have implemented such a framework here [1]. It currently has the
>> LabelStatisticsImageFilter implemented in a streaming fashion.
>>>>
>>>> Let me give it a try and see how quickly I can get the
>>>> StatisticsImageFilter
>> in this framework. Help writing tests would be appreciated.
>>>>
>>>> Thanks, Brad
>>>>
>>>> [1] https://github.com/blowekamp/itkStreamingSinc
>>>>
>>>> On Apr 17, 2015, at 5:08 AM, Dr. Roman Grothausmann
>>>> <grothausmann.roman at mh-hannover.de> wrote:
>>>>
>>>>> Dear mailing list members,
>>>>>
>>>>>
>>>>> I'm wondering why the itkStatisticsImageFilter cannot stream? Looking
>>>>> into itkStatisticsImageFilter.hxx it requests the whole input in
>>>>> GenerateInputRequestedRegion and EnlargeOutputRequestedRegion but in
>>>>> ThreadedGenerateData only iterates over the outputRegionForThread.
>>>>> Where in the code is the whole input image needed as one single
>>>>> block?
>>>>>
>>>>> Thanks for any hints Roman
>>>>>
>>>>> -- Dr. Roman Grothausmann
>>>>>
>>>>> Tomographie und Digitale Bildverarbeitung Tomography and Digital
>>>>> Image Analysis
>>>>>
>>>>> Institut für Funktionelle und Angewandte Anatomie, OE 4120
>>>>> Medizinische Hochschule Hannover Carl-Neuberg-Str. 1 D-30625
>>>>> Hannover
>>>>>
>>>>> Tel. +49 511 532-2900 _____________________________________ Powered
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>>>>>
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>>>>
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>>>>
>>>> Visit other Kitware open-source projects at
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>>>> Kitware offers ITK Training Courses, for more information visit:
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>>>>
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>>>
>>
>> -- Dr. Roman Grothausmann
>>
>> Tomographie und Digitale Bildverarbeitung Tomography and Digital Image
>> Analysis
>>
>> Institut für Funktionelle und Angewandte Anatomie, OE 4120 Medizinische
>> Hochschule Hannover Carl-Neuberg-Str. 1 D-30625 Hannover
>>
>> Tel. +49 511 532-2900
>

-- 
Dr. Roman Grothausmann

Tomographie und Digitale Bildverarbeitung
Tomography and Digital Image Analysis

Institut für Funktionelle und Angewandte Anatomie, OE 4120
Medizinische Hochschule Hannover
Carl-Neuberg-Str. 1
D-30625 Hannover

Tel. +49 511 532-2900