[ITK-dev] New Image Filter for Submission

[David Burns]

Thanks for you interest in my work Bradley,

So far, I have not used the ITKv4 registration framework (or previous 
versions) for my project. If I were to use the filter I coded within the 
framework, my approach would be to use it to pre-process the fixed 
and/or moving images.

I am at this point trying to decide whether or not to use the framework 
- my registration task involves 2 moving image volumes, DRR generation, 
and 1 fixed 2D image. I've seen that the framework can be modified to 
use multiple fixed images [1], but have not seen anything yet that would 
meet my needs. If you have any suggestions, they would be welcome. If I 
do end up modifying the framework to meet my needs, I will share my work 
with the community.

[1] 
https://ibia.umit.at/ResearchGroup/Phil/web/Simple2D3DRegistrationFramework.html

Best regards,
David


On 10/16/2015 10:34 AM, Bradley Lowekamp wrote:
> David,
>
> This filter was integrated in to ITK [1].
>
> It handles the case where the image size is not a factor of the shrinkFactor, by truncating, and changing the image's physical extent. The doxygen page illustrates how this occurs.
>
> Are you using the ITKv4 registration framework? I am curious how you are integrating this multi-scale feature into the framework.
>
> [1] http://www.itk.org/Doxygen/html/classitk_1_1BinShrinkImageFilter.html
>
> On Oct 15, 2015, at 3:35 PM, David Burns <david.mo.burns at gmail.com> wrote:
>
>> Thanks Matt -
>>
>> You are correct. Very similar. I will not post mine in that case.
>>
>> Best
>> David
>>
>> On 10/15/2015 03:17 PM, Matt McCormick wrote:
>>> Hi David,
>>>
>>> Thanks for contributing to ITK.
>>>
>>> It sounds like this filter does the same as the BinShrinkImageFilter?:
>>>
>>>    http://www.insight-journal.org/browse/publication/912
>>>
>>> Matt
>>>
>>> On Thu, Oct 15, 2015 at 2:48 PM, David Burns <david.mo.burns at gmail.com> wrote:
>>>> Dear Insight Developers,
>>>>
>>>> I have developed an image filter that may be useful to the community. Please
>>>> let me know if you think this is the case, and I will submit it to the
>>>> Journal.
>>>>
>>>> The filter produces a subsampled version of the input image, where the
>>>> output image has the same output dimensions (Size[i]*Spacing[i]) but with
>>>> the number of pixels (Size[i]) scaled down by a factor (factor[i]) across
>>>> the dimensions. The pixels of the output image are an average over the input
>>>> pixels they overlap. The filter verifies/ensures that factor[i] is an exact
>>>> factor of the input image Size[i], so that the image properties remain
>>>> unchanged by the filter.
>>>>
>>>> I found this to be useful for my registration task to produce a lower
>>>> resolution image very quickly, without needing to use itk::
>>>> ResampleImageFilter, interpolation or smoothing.
>>>>
>>>> I've attached a screenshot of an xray, subsampled / averaged by a factor of
>>>> 4 in x and y. Let me know your thoughts?
>>>>
>>>> Thanks
>>>> David Burns
>>>>
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