[ITK] Registration processing time comparison between V3 and V4

[Dženan Zukić]

Hi Kenji,

on Friday we discussed
<https://docs.google.com/document/d/1I6DHtiGsA5sIPxr9ae683j-vyBpdfFeUpaLWyEVcSSg/view>
the need to make v4 registration faster and more flexible, partly due
to Brian Eastwood's question. The quick stopgap solution would be to
replace DiscreteGaussian by a faster but approximate Gaussian filter. The
long-term solution would be allowing users to implement their
own MultiScaleFilter which would allow them to override a number of
defaults, including smoothing and whether to force downsampling step
instead of doing resampling on the fly. But we haven't decided who should
implement it, or when.

Please post follow-up questions on Discourse <https://discourse.itk.org/>.

Regards,
Dženan

On Sat, Nov 18, 2017 at 4:59 PM, Kenji Tsumura <
kenji.tsumura at neosoftmedical.com> wrote:

> Hi,
>
>
>
> I just started to learn ITK registration and noticed there is a difference
> in processing time between Registration V3 and V4. It took around 2.4
> seconds to perform registration of 20 MRI images using V3, whereas it took
> around 7.2 seconds using V4. I have no idea where this difference comes
> from. It would be great if someone gives me an advice on how to make
> processing time using V4 equivalent of that of V3, as I want to use
> ObjectToObjectMultiMetricV4. In the past, there was a similar post, but no
> one gave a clear answer.
>
>
>
> I posted the source code and image data in the following URL.
>
> https://github.com/ktsumura/ITK-BSpline-Registration/tree/master
>
>
>
> I followed the following examples.
>
> https://itk.org/Wiki/ITK/Examples/Registration/
> ImageRegistrationMethodBSpline
>
> DeformableRegistration4.cxx.
>
>
>
> Thank you!
>
>
>
> Kenji
>
>
>
>
>
>
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